Using historical data to correct GPS data in a network of moving things

ABSTRACT

A system comprises model generation circuitry operable to process positioning data from a plurality of positioning system receivers of a network of vehicles to generate one or more statistical models of the positions of the vehicles, wherein the positioning data is received via a plurality of mobile access points of the network of vehicles. The system also comprises positioning circuitry operable to receive a reading from a particular one of the plurality of positioning system receivers, and compensate the reading from the particular one of the plurality of positioning system receivers based on the one or more statistical models to determine a most-probable location of the particular one of the plurality of positioning system receivers.

PRIORITY CLAIM

This application claims priority to the following application(s), each of which is hereby incorporated herein by reference:

U.S. provisional patent application 62/244,828 titled “Using Historical Data to Correct GPS Data in a Network of Moving Things” filed on Oct. 22, 2015.

INCORPORATION BY REFERENCE

This patent application makes reference to, claims priority to, and claims benefit from U.S. Provisional Patent Application Ser. No. 62/222,192, filed on Sep. 22, 2015, and titled “Communication Network of Moving Things,” which is hereby incorporated herein by reference in its entirety. The present application is also related to U.S. Provisional Application Ser. No. 62/221,997, titled “Integrated Communication Network for a Network of Moving Things,” filed on Sep. 22, 2015; U.S. Provisional Application Ser. No. 62/222,016, titled “Systems and Methods for Synchronizing a Network of Moving Things,” filed on Sep. 22, 2015; U.S. Provisional Application Ser. No. 62/222,042, titled “Systems and Methods for Managing a Network of Moving Things,” filed on Sep. 22, 2015; U.S. Provisional Application Ser. No. 62/222,066, titled “Systems and Methods for Monitoring a Network of Moving Things,” filed on Sep. 22, 2015; U.S. Provisional Application Ser. No. 62/222,077, titled “Systems and Methods for Detecting and Classifying Anomalies in a Network of Moving Things,” filed on Sep. 22, 2015; U.S. Provisional Application Ser. No. 62/222,098, titled “Systems and Methods for Managing Mobility in a Network of Moving Things,” filed on Sep. 22, 2015; U.S. Provisional Application Ser. No. 62/222,121, titled “Systems and Methods for Managing Connectivity a Network of Moving Things,” filed on Sep. 22, 2015; U.S. Provisional Application Ser. No. 62/222,135, titled “Systems and Methods for Collecting Sensor Data in a Network of Moving Things,” filed on Sep. 22, 2015; U.S. Provisional Application Ser. No. 62/222,145, titled “Systems and Methods for Interfacing with a Network of Moving Things,” filed on Sep. 22, 2015; U.S. Provisional Application Ser. No. 62/222,150, titled “Systems and Methods for Interfacing with a User of a Network of Moving Things,” filed on Sep. 22, 2015; U.S. Provisional Application Ser. No. 62/222,168, titled “Systems and Methods for Data Storage and Processing for a Network of Moving Things,” filed on Sep. 22, 2015; U.S. Provisional Application Ser. No. 62/222,183, titled “Systems and Methods for Vehicle Traffic Management in a Network of Moving Things,” filed on Sep. 22, 2015; U.S. Provisional Application Ser. No. 62/222,186, titled “Systems and Methods for Environmental Management in a Network of Moving Things,” filed on Sep. 22, 2015; U.S. Provisional Application Ser. No. 62/222,190, titled “Systems and Methods for Port Management in a Network of Moving Things,” filed on Sep. 22, 2015; U.S. Provisional Application Ser. No. 62/244,930, titled “Using Anchors to Correct GPS Data in a Network of Moving Things,” filed on Oct. 22, 2015; U.S. Provisional Application Ser. No. 62/246,368, titled “Systems and Methods for Inter-Application Communication in a Network of Moving Things,” filed on Oct. 26, 2015; U.S. Provisional Application Ser. No. 62/246,372, titled “Systems and Methods for Probing and Validating Communication in a Network of Moving Things,” filed on Oct. 26, 2015; U.S. Provisional Application Ser. No. 62/250,544, titled “Adaptive Rate Control for Vehicular Networks,” filed on Nov. 4, 2015; U.S. Provisional Application Ser. No. 62/273,878, titled “Systems and Methods for Reconfiguring and Adapting Hardware in a Network of Moving Things,” filed on Dec. 31, 2015; U.S. Provisional Application Ser. No. 62/253,249, titled “Systems and Methods for Optimizing Data Gathering in a Network of Moving Things,” filed on Nov. 10, 2015; U.S. Provisional Application Ser. No. 62/257,421, titled “Systems and Methods for Delay Tolerant Networking in a Network of Moving Things,” filed on Nov. 19, 2015; U.S. Provisional Application Ser. No. 62/265,267, titled “Systems and Methods for Improving Coverage and Throughput of Mobile Access Points in a Network of Moving Things,” filed on Dec. 9, 2015; U.S. Provisional Application Ser. No. 62/270,858, titled “Channel Coordination in a Network of Moving Things,” filed on Dec. 22, 2015; U.S. Provisional Application Ser. No. 62/257,854, titled “Systems and Methods for Network Coded Mesh Networking in a Network of Moving Things,” filed on Nov. 20, 2015; U.S. Provisional Application Ser. No. 62/260,749, titled “Systems and Methods for Improving Fixed Access Point Coverage in a Network of Moving Things,” filed on Nov. 30, 2015; U.S. Provisional Application Ser. No. 62/273,715, titled “Systems and Methods for Managing Mobility Controllers and Their Network Interactions in a Network of Moving Things,” filed on Dec. 31, 2015; U.S. Provisional Application Ser. No. 62/281,432, titled “Systems and Methods for Managing and Triggering Handovers of Mobile Access Points in a Network of Moving Things,” filed on Jan. 21, 2016; U.S. Provisional Application Ser. No. 62/268,188, titled “Captive Portal-related Control and Management in a Network of Moving Things,” filed on Dec. 16, 2015; U.S. Provisional Application Ser. No. 62/270,678, titled “Systems and Methods to Extrapolate High-Value Data from a Network of Moving Things,” filed on Dec. 22, 2015; U.S. Provisional Application Ser. No. 62/272,750, titled “Systems and Methods for Remote Software Update and Distribution in a Network of Moving Things,” filed on Dec. 30, 2015; U.S. Provisional Application Ser. No. 62/278,662, titled “Systems and Methods for Remote Configuration Update and Distribution in a Network of Moving Things,” filed on Jan. 14, 2016; U.S. Provisional Application Ser. No. 62/286,243, titled “Systems and Methods for Adapting a Network of Moving Things Based on User Feedback,” filed on Jan. 22, 2016; U.S. Provisional Application Ser. No. 62/278,764, titled “Systems and Methods to Guarantee Data Integrity When Building Data Analytics in a Network of Moving Things,” Jan. 14, 2016; U.S. Provisional Application Ser. No. 62/286,515, titled “Systems and Methods for Self-Initialization and Automated Bootstrapping of Mobile Access Points in a Network of Moving Things,” filed on Jan. 25, 2016; U.S. Provisional Application Ser. No. 62/295,602, titled “Systems and Methods for Power Management in a Network of Moving Things,” filed on Feb. 16, 2016; and U.S. Provisional Application Ser. No. 62/299,269, titled “Systems and Methods for Automating and Easing the Installation and Setup of the Infrastructure Supporting a Network of Moving Things,” filed on Feb. 24, 2016; each of which is hereby incorporated herein by reference in its entirety for all purposes.

BACKGROUND

Current communication networks are unable to adequately support communication environments involving mobile and static nodes. As a non-limiting example, current communication networks are unable to adequately support a network comprising a complex array of both moving and static nodes (e.g., the Internet of moving things). Limitations and disadvantages of conventional methods and systems will become apparent to one of skill in the art, through comparison of such approaches with some aspects of the present methods and systems set forth in the remainder of this disclosure with reference to the drawings.

BRIEF DESCRIPTION OF SEVERAL VIEWS OF THE DRAWINGS

FIG. 1 shows a block diagram of a communication network, in accordance with various aspects of this disclosure.

FIG. 2 shows a block diagram of a communication network, in accordance with various aspects of this disclosure.

FIG. 3 shows a diagram of a metropolitan area network, in accordance with various aspects of this disclosure.

FIG. 4 shows a block diagram of a communication network, in accordance with various aspects of this disclosure.

FIGS. 5A-5C show a plurality of network configurations illustrating the flexibility and/or and resiliency of a communication network, in accordance with various aspects of this disclosure.

FIG. 6 shows a block diagram of an example communication network, in accordance with various aspects of the present disclosure.

FIG. 7 is a flowchart showing an example process of locating mobile objects based on historical GPS data from a network of mobile nodes.

FIG. 8 shows a graphical representation of a statistical model generated using the process of FIG. 7.

FIG. 9 shows example circuitry of a vehicle of the network of moving things.

FIG. 10 is a flowchart illustrating an example process for path prediction in a vehicular network.

FIG. 11 is a flowchart illustrating an example process for compensating positioning data in a vehicular network.

FIG. 12 is a flowchart illustrating an example process for path determination in a vehicular network.

SUMMARY

Various aspects of this disclosure provide communication network architectures, systems and methods for supporting a network of mobile and/or static nodes. As a non-limiting example, various aspects of this disclosure provide communication network architectures, systems, and methods for supporting a dynamically configurable communication network comprising a complex array of both static and moving communication nodes (e.g., the Internet of moving things). For example, a communication network implemented in accordance with various aspects of the present disclosure may operate in one of a plurality of modalities comprising various fixed nodes, mobile nodes, and/or a combination thereof, which are selectable to achieve any of a variety of system goals.

DETAILED DESCRIPTION OF VARIOUS ASPECTS OF THE DISCLOSURE

As utilized herein the terms “circuits” and “circuitry” refer to physical electronic components (i.e., hardware) and any software and/or firmware (“code”) that may configure the hardware, be executed by the hardware, and or otherwise be associated with the hardware. As used herein, for example, a particular processor and memory (e.g., a volatile or non-volatile memory device, a general computer-readable medium, etc.) may comprise a first “circuit” when executing a first one or more lines of code and may comprise a second “circuit” when executing a second one or more lines of code. Additionally, a circuit may comprise analog and/or digital circuitry. Such circuitry may, for example, operate on analog and/or digital signals. It should be understood that a circuit may be in a single device or chip, on a single motherboard, in a single chassis, in a plurality of enclosures at a single geographical location, in a plurality of enclosures distributed over a plurality of geographical locations, etc.

As utilized herein, circuitry is “operable” to perform a function whenever the circuitry comprises the necessary hardware and code (if any is necessary) to perform the function, regardless of whether performance of the function is disabled, or not enabled (e.g., by a user-configurable setting, factory setting or trim, etc.).

As utilized herein, “and/or” means any one or more of the items in the list joined by “and/or”. As an example, “x and/or y” means any element of the three-element set {(x), (y), (x, y)}. That is, “x and/or y” means “one or both of x and y.” As another example, “x, y, and/or z” means any element of the seven-element set {(x), (y), (z), (x, y), (x, z), (y, z), (x, y, z)}. That is, “x, y, and/or x” means “one or more of x, y, and z.” As utilized herein, the terms “e.g.,” and “for example,” “exemplary,” and the like set off lists of one or more non-limiting examples, instances, or illustrations.

The terminology used herein is for the purpose of describing particular examples only and is not intended to be limiting of the disclosure. As used herein, the singular forms are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises,” “includes,” “comprising,” “including,” “has,” “have,” “having,” and the like when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.

It will be understood that, although the terms first, second, etc. may be used herein to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element from another element. Thus, for example, a first element, a first component or a first section discussed below could be termed a second element, a second component or a second section without departing from the teachings of the present disclosure. Similarly, various spatial terms, such as “upper,” “lower,” “side,” and the like, may be used in distinguishing one element from another element in a relative manner. It should be understood, however, that components may be oriented in different manners, for example an electronic device may be turned sideways so that its “top” surface is facing horizontally and its “side” surface is facing vertically, without departing from the teachings of the present disclosure.

With the proliferation of the mobile and/or static things (e.g., devices, machines, people, etc.) and logistics for such things to become connected to each other (e.g., in the contexts of smart logistics, transportation, environmental sensing, etc.), a platform that is for example always-on, robust, scalable and secure that is capable of providing connectivity, services and Internet access to such things (or objects), anywhere and anytime is desirable. Efficient power utilization within the various components of such system is also desirable.

Accordingly, various aspects of the present disclosure provide a fully-operable, always-on, responsive, robust, scalable, secure platform/system/architecture to provide connectivity, services and Internet access to all mobile things and/or static things (e.g., devices, machines, people, access points, end user devices, sensors, etc.) anywhere and anytime, while operating in an energy-efficient manner.

Various aspects of the present disclosure provide a platform that is flexibly configurable and adaptable to the various requirements, features, and needs of different environments, where each environment may be characterized by a respective level of mobility and density of mobile and/or static things, and the number and/or types of access to those things. Characteristics of various environments may, for example, include high mobility of nodes (e.g., causing contacts or connections to be volatile), high number of neighbors, high number of connected mobile users, mobile access points, availability of multiple networks and technologies (e.g., sometimes within a same area), etc. For example, the mode of operation of the platform may be flexibly adapted from environment to environment, based on each environment's respective requirements and needs, which may be different from other environments. Additionally for example, the platform may be flexibly optimized (e.g., at design/installation time and/or in real-time) for different purposes (e.g., to reduce the latency, increase throughput, reduce power consumption, load balance, increase reliability, make more robust with regard to failures or other disturbances, etc.), for example based on the content, service or data that the platform provides or handles within a particular environment.

In accordance with various aspects of the present disclosure, many control and management services (e.g., mobility, security, routing, etc.) are provided on top of the platform (e.g., directly, using control overlays, using containers, etc.), such services being compatible with the services currently deployed on top of the Internet or other communication network(s).

The communication network (or platform), in whole or in part, may for example be operated in public and/or private modes of operation, for example depending on the use case. The platform may, for example, operate in a public or private mode of operation, depending on the use-case (e.g., public Internet access, municipal environment sensing, fleet operation, etc.).

Additionally for example, in an implementation in which various network components are mobile, the transportation and/or signal control mechanisms may be adapted to serve the needs of the particular implementation. Also for example, wireless transmission power and/or rate may be adapted (e.g., to mitigate interference, to reduce power consumption, to extend the life of network components, etc.

Various example implementations of a platform, in accordance with various aspects of the present disclosure, are capable of connecting different subsystems, even when various other subsystems that may normally be utilized are unavailable. For example, the platform may comprise various built-in redundancies and fail-recovery mechanisms. For example, the platform may comprise a self-healing capability, self-configuration capability, self-adaptation capability, etc. The protocols and functions of the platform may, for example, be prepared to be autonomously and smoothly configured and adapted to the requirements and features of different environments characterized by different levels of mobility and density of things (or objects), the number/types of access to those things. For example, various aspects of the platform may gather context parameters that can influence any or all decisions. Such parameters may, for example, be derived locally, gathered from a neighborhood, fixed APs, the Cloud, etc. Various aspects of the platform may also, for example, ask for historical information to feed any of the decisions, where such information can be derived from historical data, from surveys, from simulators, etc. Various aspects of the platform may additionally, for example, probe or monitor decisions made throughout the network, for example to evaluate the network and/or the decisions themselves in real-time. Various aspects of the platform may further, for example, enforce the decisions in the network (e.g., after evaluating the probing results). Various aspects of the platform may, for example, establish thresholds to avoid any decision that is to be constantly or repeatedly performed without any significant advantage (e.g., technology change, certificate change, IP change, etc.). Various aspects of the platform may also, for example, learn locally (e.g., with the decisions performed) and dynamically update the decisions.

In addition to (or instead of) failure robustness, a platform may utilize multiple connections (or pathways) that exist between distinct sub-systems or elements within the same sub-system, to increase the robustness and/or load-balancing of the system.

The following discussion will present examples of the functionality performed by various example subsystems of the communication network. It should be understood that the example functionality discussed herein need not be performed by the particular example subsystem or by a single subsystem. For example, the subsystems present herein may interact with each other, and data or control services may be deployed either in a centralized way, or having their functionalities distributed among the different subsystems, for example leveraging the cooperation between the elements of each subsystem.

Various aspects of the present disclosure provide a communication network (e.g., a city-wide vehicular network, a shipping port-sized vehicular network, a campus-wide vehicular network, etc.) that utilizes vehicles (e.g., automobiles, buses, trucks, boats, forklifts, etc.) as Wi-Fi hotspots. Note that Wi-Fi is generally used throughout this discussion as an example, but the scope of various aspects of this disclosure is not limited thereto. For example, other wireless LAN technologies, PAN technologies, MAN technologies, etc., may be utilized. Such utilization may, for example, provide cost-effective ways to gather substantial amounts of urban data, and provide for the efficient offloading of traffic from congested cellular networks (or other networks). In controlled areas (e.g., ports, harbors, etc.) with many vehicles, a communication network in accordance with various aspects of this disclosure may expand the wireless coverage of existing enterprise Wi-Fi networks, for example providing for real-time communication with vehicle drivers (e.g., human, computer-controlled, etc.) and other mobile employees without the need for SIM cards or cellular (or other network) data plans.

Vehicles may have many advantageous characteristics that make them useful as Wi-Fi (or general wireless) hotspots. For example, vehicles generally have at least one battery, vehicles are generally densely spread over the city at street level and/or they are able to establish many contacts with each other in a controlled space, and vehicles can communicate with 10× the range of normal Wi-Fi in the 5.9 GHz frequency band, reserved for intelligent transportation systems in the EU, the U.S., and elsewhere. Note that the scope of this disclosure is not limited to such 5.9 GHz wireless communication. Further, vehicles are able to effectively expand their coverage area into a swath over a period of time, enabling a single vehicle access point to interact with substantially more data sources over the period of time.

In accordance with various aspects of the present disclosure, an affordable multi-network on-board unit (OBU) is presented. Note that the OBU may also be referred to herein as a mobile access point, Mobile AP, MAP, etc. The OBU may, for example, comprise a plurality of networking interfaces (e.g., Wi-Fi, 802.11p, 4G, Bluetooth, UWB, etc.). The OBU may, for example, be readily installed in or on private and/or public vehicles (e.g., individual user vehicles, vehicles of private fleets, vehicles of public fleets, etc.). The OBU may, for example, be installed in transportation fleets, waste management fleets, law enforcement fleets, emergency services, road maintenance fleets, taxi fleets, aircraft fleets, etc. The OBU may, for example, be installed in or on a vehicle or other structure with free mobility or relatively limited mobility. The OBU may also, for example, be carried by a person or service animal, mounted to a bicycle, mounted to a moving machine in general, mounted to a container, etc.

The OBUs may, for example, operate to connect passing vehicles to the wired infrastructure of one or more network providers, telecom operators, etc. In accordance with the architecture, hardware, and software functionality discussed herein, vehicles and fleets can be connected not just to the cellular networks (or other wide area or metropolitan area networks, etc.) and existing Wi-Fi hotspots spread over a city or a controlled space, but also to other vehicles (e.g., utilizing multi-hop communications to a wired infrastructure, single or multi-hop peer-to-peer vehicle communication, etc.). The vehicles and/or fleets may, for example, form an overall mesh of communication links, for example including the OBUs and also fixed Access Points (APs) connected to the wired infrastructure (e.g., a local infrastructure, etc.). Note that OBUs herein may also be referred to as “Mobile APs,” “mobile hotspots,” “MAPs,” etc. Also note that fixed access points may also be referred to herein as Road Side Units (RSUs), Fixed APs, FAPs, etc.

In an example implementation, the OBUs may communicate with the Fixed APs utilizing a relatively long-range protocol (e.g., 802.11p, etc.), and the Fixed APs may, in turn, be hard wired to the wired infrastructure (e.g., via cable, tethered optical link, etc.). Note that Fixed APs may also, or alternatively, be coupled to the infrastructure via wireless link (e.g., 802.11p, etc.). Additionally, clients or user devices may communicate with the OBUs using one or more relatively short-range protocols (e.g., Wi-Fi, Bluetooth, UWB, etc.). The OBUs, for example having a longer effective wireless communication range than typical Wi-Fi access points or other wireless LAN/PAN access points (e.g., at least for links such as those based on 802.11p, etc.), are capable of substantially greater coverage areas than typical Wi-Fi or other wireless LAN/PAN access points, and thus fewer OBUs are necessary to provide blanket coverage over a geographical area.

The OBU may, for example, comprise a robust vehicular networking module (e.g., a connection manager) which builds on long-range communication protocol capability (e.g., 802.11p, etc.). For example, in addition to comprising 802.11p (or other long-range protocol) capability to communicate with Fixed APs, vehicles, and other nodes in the network, the OBU may comprise a network interface (e.g., 802.11a/b/g/n, 802.11ac, 802.11af, any combination thereof, etc.) to provide wireless local area network (WLAN) connectivity to end user devices, sensors, fixed Wi-Fi access points, etc. For example, the OBU may operate to provide in-vehicle Wi-Fi Internet access to users in and/or around the vehicle (e.g., a bus, train car, taxi cab, public works vehicle, etc.). The OBU may further comprise one or more wireless backbone communication interfaces (e.g., cellular network interfaces, etc.). Though in various example scenarios, a cellular network interface (or other wireless backbone communication interface) might not be the preferred interface for various reasons (e.g., cost, power, bandwidth, etc.), the cellular network interface may be utilized to provide connectivity in geographical areas that are not presently supported by a Fixed AP, may be utilized to provide a fail-over communication link, may be utilized for emergency communications, may be utilized to subscribe to local infrastructure access, etc. The cellular network interface may also, for example, be utilized to allow the deployment of solutions that are dependent on the cellular network operators.

An OBU, in accordance with various aspects of the present disclosure, may for example comprise a smart connection manager that can select the best available wireless link(s) (e.g., Wi-Fi, 802.11p, cellular, vehicle mesh, etc.) with which to access the Internet. The OBU may also, for example, provide geo-location capabilities (e.g., GPS, etc.), motion detection sensors to determine if the vehicle is in motion, and a power control subsystem (e.g., to ensure that the OBU does not deplete the vehicle battery, etc.). The OBU may, for example, comprise any or all of the sensors (e.g., environmental sensors, etc.) discussed herein.

The OBU may also, for example, comprise a manager that manages machine-to-machine data acquisition and transfer (e.g., in a real-time or delay-tolerant fashion) to and from the cloud. For example, the OBU may log and/or communicate information of the vehicles.

The OBU may, for example, comprise a connection and/or routing manager that operates to perform routing of communications in a vehicle-to-vehicle/vehicle-to-infrastructure multi-hop communication. A mobility manager (or controller, MC) may, for example, ensure that communication sessions persist over one or more handoff(s) (also referred to herein as a “handover” or “handovers”) (e.g., between different Mobile APs, Fixed APs, base stations, hot spots, etc.), among different technologies (e.g., 802.11p, cellular, Wi-Fi, satellite, etc.), among different MCs (e.g., in a fail-over scenario, load redistribution scenario, etc.), across different interfaces (or ports), etc. Note that the MC may also be referred to herein as a Local Mobility Anchor (LMA), a Network Controller, etc. Note that the MC, or a plurality thereof, may for example be implemented as part of the backbone, but may also, or alternatively, be implemented as part of any of a variety of components or combinations thereof. For example, the MC may be implemented in a Fixed AP (or distributed system thereof), as part of an OBU (or a distributed system thereof), etc. Various non-limiting examples of system components and/or methods are provided in U.S. Provisional Application No. 62/222,098, filed Sep. 22, 2015, and titled “Systems and Method for Managing Mobility in a Network of Moving Things,” the entire contents of which are hereby incorporated herein by reference. Note that in an example implementation including a plurality of MCs, such MCs may be co-located and/or may be geographically distributed.

Various aspects of the present disclosure also provide a cloud-based service-oriented architecture that handles the real-time management, monitoring and reporting of the network and clients, the functionalities required for data storage, processing and management, the Wi-Fi client authentication and Captive Portal display, etc.

A communication network (or component thereof) in accordance with various aspects of the present disclosure may, for example, support a wide range of smart city applications (or controlled scenarios, or connected scenarios, etc.) and/or use-cases, as described herein.

For example, an example implementation may operate to turn each vehicle (e.g., both public and private taxis, buses, trucks, etc.) into a Mobile AP (e.g., a mobile Wi-Fi hotspot), offering Internet access to employees, passengers and mobile users travelling in the city, waiting in bus stops, sitting in parks, etc. Moreover, through an example vehicular mesh network formed between vehicles and/or fleets of vehicles, an implementation may be operable to offload cellular traffic through the mobile Wi-Fi hotspots and/or fixed APs (e.g., 802.11p-based APs) spread over the city and connected to the wired infrastructure of public or private telecom operators in strategic places, while ensuring the widest possible coverage at the lowest possible cost.

An example implementation (e.g., of a communication network and/or components thereof) may, for example, be operable as a massive urban scanner that gathers large amounts of data (e.g., continuously) on-the-move, actionable or not, generated by a myriad of sources spanning from the in-vehicle sensors or On Board Diagnostic System port (e.g., OBD2, etc.), external Wi-Fi/Bluetooth-enabled sensing units spread over the city, devices of vehicles' drivers and passengers (e.g., information characterizing such devices and/or passengers, etc.), positioning system devices (e.g., position information, velocity information, trajectory information, travel history information, etc.), etc.

Depending on the use case, the OBU may for example process (or computer, transform, manipulate, aggregate, summarize, etc.) the data before sending the data from the vehicle, for example providing the appropriate granularity (e.g., value resolution) and sampling rates (e.g., temporal resolution) for each individual application. For example, the OBU may, for example, process the data in any manner deemed advantageous by the system. The OBU may, for example, send the collected data (e.g., raw data, preprocessed data, information of metrics calculated based on the collected data, etc.) to the Cloud (e.g., to one or more networked servers coupled to any portion of the network) in an efficient and reliable manner to improve the efficiency, environmental impact and social value of municipal city operations and transportation services. Various example use cases are described herein.

In an example scenario in which public buses are moving along city routes and/or taxis are performing their private transportation services, the OBU is able to collect large quantities of real-time data from the positioning systems (e.g., GPS, etc.), from accelerometer modules, etc. The OBU may then, for example, communicate such data to the Cloud, where the data may be processed, reported and viewed, for example to support such public or private bus and/or taxi operations, for example supporting efficient remote monitoring and scheduling of buses and taxis, respectively.

In an example implementation, small cameras (or other sensors) may be coupled to small single-board computers (SBCs) that are placed above the doors of public buses to allow capturing image sequences of people entering and leaving buses, and/or on stops along the bus routes in order to estimate the number of people waiting for a bus. Such data may be gathered by the OBU in order to be sent to the Cloud. With such data, public transportation systems may detect peaks; overcrowded buses, routes and stops; underutilized buses, routes and stops; etc., enabling action to be taken in real-time (e.g., reducing bus periodicity to decrease fuel costs and CO2 emissions where and when passenger flows are smaller, etc.) as well as detecting systematic transportation problems.

An OBU may, for example, be operable to communicate with any of a variety of Wi-Fi-enabled sensor devices equipped with a heterogeneous collection of environmental sensors. Such sensors may, for example, comprise noise sensors (microphones, etc.), gas sensors (e.g., sensing CO, NO2, O3, volatile organic compounds (or VOCs), CO2, etc.), smoke sensors, pollution sensors, meteorological sensors (e.g., sensing temperature, humidity, luminosity, particles, solar radiation, wind speed (e.g., anemometer), wind direction, rain (e.g., a pluviometer), optical scanners, biometric scanners, cameras, microphones, etc.). Such sensors may also comprise sensors associated with users (e.g., vehicle operators or passengers, passersby, etc.) and/or their personal devices (e.g., smart phones or watches, biometrics sensors, wearable sensors, implanted sensors, etc.). Such sensors may, for example, comprise sensors and/or systems associated with on-board diagnostic (OBD) units for vehicles. Such sensors may, for example, comprise positioning sensors (e.g., GPS sensors, Galileo sensors, GLONASS sensors, etc.). Such sensors may, for example, comprise container sensors (e.g., garbage can sensors, shipping container sensors, container environmental sensors, container tracking sensors, etc.).

Once a vehicle enters the vicinity of such a sensor device, a wireless link may be established, so that the vehicle (or OBU thereof) can collect sensor data from the sensor device and upload the collected data to a database in the Cloud. The appropriate action can then be taken. In an example waste management implementation, several waste management (or collection) trucks may be equipped with OBUs that are able to periodically communicate with sensors installed on containers in order to gather information about waste level, time passed since last collection, etc. Such information may then sent to the Cloud (e.g., to a waste management application coupled to the Internet, etc.) through the vehicular mesh network, in order to improve the scheduling and/or routing of waste management trucks. Note that various sensors may always be in range of the Mobile AP (e.g., vehicle-mounted sensors). Note that the sensor may also (or alternatively) be mobile (e.g., a sensor mounted to another vehicle passing by a Mobile AP or Fixed AP, a drone-mounted sensor, a pedestrian-mounted sensor, etc.).

In an example implementation, for example in a controlled space (e.g., a port, harbor, airport, factory, plantation, mine, etc.) with many vehicles, machines and employees, a communication network in accordance with various aspects of the present disclosure may expand the wireless coverage of enterprise and/or local Wi-Fi networks, for example without resorting to a Telco-dependent solution based on SIM cards or cellular fees. In such an example scenario, apart from avoiding expensive cellular data plans, limited data rate and poor cellular coverage in some places, a communication network in accordance with various aspects of the present disclosure is also able to collect and/or communicate large amounts of data, in a reliable and real-time manner, where such data may be used to optimize harbor logistics, transportation operations, etc.

For example in a port and/or harbor implementation, by gathering real-time information on the position, speed, fuel consumption and CO2 emissions of the vehicles, the communication network allows a port operator to improve the coordination of the ship loading processes and increase the throughput of the harbor. Also for example, the communication network enables remote monitoring of drivers' behaviors, trucks' positions and engines' status, and then be able to provide real-time notifications to drivers (e.g., to turn on/off the engine, follow the right route inside the harbor, take a break, etc.), thus reducing the number and duration of the harbor services and trips. Harbor authorities may, for example, quickly detect malfunctioning trucks and abnormal trucks' circulation, thus avoiding accidents in order to increase harbor efficiency, security, and safety. Additionally, the vehicles can also connect to Wi-Fi access points from harbor local operators, and provide Wi-Fi Internet access to vehicles' occupants and surrounding harbor employees, for example allowing pilots to save time by filing reports via the Internet while still on the water.

FIG. 1 shows a block diagram of a communication network 100, in accordance with various aspects of this disclosure. Any or all of the functionality discussed herein may be performed by any or all of the example components of the example network 100. Also, the example network 100 may, for example, share any or all characteristics with the other example networks and/or network components 200, 300, 400, 500-570, and 600, discussed herein.

The example network 100, for example, comprises a Cloud that may, for example comprise any of a variety of network level components. The Cloud may, for example, comprise any of a variety of server systems executing applications that monitor and/or control components of the network 100. Such applications may also, for example, manage the collection of information from any of a large array of networked information sources, many examples of which are discussed herein. The Cloud (or a portion thereof) may also be referred to, at times, as an API. For example, Cloud (or a portion thereof) may provide one or more application programming interfaces (APIs) which other devices may use for communicating/interacting with the Cloud.

An example component of the Cloud may, for example, manage interoperability with various multi-cloud systems and architectures. Another example component (e.g., a Cloud service component) may, for example, provide various cloud services (e.g., captive portal services, authentication, authorization, and accounting (AAA) services, API Gateway services, etc.). An additional example component (e.g., a DevCenter component) may, for example, provide network monitoring and/or management functionality, manage the implementation of software updates, etc. A further example component of the Cloud may manage data storage, data analytics, data access, etc. A still further example component of the Cloud may include any of a variety of third-partly applications and services.

The Cloud may, for example, be coupled to the Backbone/Core Infrastructure of the example network 100 via the Internet (e.g., utilizing one or more Internet Service Providers). Though the Internet is provided by example, it should be understood that scope of the present disclosure is not limited thereto.

The Backbone/Core may, for example, comprise any one or more different communication infrastructure components. For example, one or more providers may provide backbone networks or various components thereof. As shown in the example network 100 illustrated in FIG. 1, a Backbone provider may provide wireline access (e.g., PSTN, fiber, cable, etc.). Also for example, a Backbone provider may provide wireless access (e.g., Microwave, LTE/Cellular, 5G/TV Spectrum, etc.).

The Backbone/Core may also, for example, comprise one or more Local Infrastructure Providers. The Backbone/Core may also, for example, comprise a private infrastructure (e.g., run by the network 100 implementer, owner, etc.). The Backbone/Core may, for example, provide any of a variety of Backbone Services (e.g., AAA, Mobility, Monitoring, Addressing, Routing, Content services, Gateway Control services, etc.).

The Backbone/Core Infrastructure may comprise any of a variety of characteristics, non-limiting examples of which are provided herein. For example, the Backbone/Core may be compatible with different wireless or wired technologies for backbone access. The Backbone/Core may also be adaptable to handle public (e.g., municipal, city, campus, etc.) and/or private (e.g., ports, campus, etc.) network infrastructures owned by different local providers, and/or owned by the network implementer or stakeholder. The Backbone/Core may, for example, comprise and/or interface with different Authentication, Authorization, and Accounting (AAA) mechanisms.

The Backbone/Core Infrastructure may, for example, support different modes of operation (e.g., L2 in port implementations, L3 in on-land public transportation implementations, utilizing any one or more of a plurality of different layers of digital IP networking, any combinations thereof, equivalents thereof, etc.) or addressing pools. The Backbone/Core may also for example, be agnostic to the Cloud provider(s) and/or Internet Service Provider(s). Additionally for example, the Backbone/Core may be agnostic to requests coming from any or all subsystems of the network 100 (e.g., Mobile APs or OBUs (On Board Units), Fixed APs or RSUs (Road Side Units), MCs (Mobility Controllers) or LMAs (Local Mobility Anchors) or Network Controllers, etc.) and/or third-party systems.

The Backbone/Core Infrastructure may, for example, comprise the ability to utilize and/or interface with different data storage/processing systems (e.g., MongoDB, MySql, Redis, etc.). The Backbone/Core Infrastructure may further, for example, provide different levels of simultaneous access to the infrastructure, services, data, etc.

The example network 100 may also, for example, comprise a Fixed Hotspot Access Network. Various example characteristics of such a Fixed Hotspot Access Network 200 are shown at FIG. 2. The example network 200 may, for example, share any or all characteristics with the other example networks and/or network components 100, 300, 400, 500-570, and 600, discussed herein.

In the example network 200, the Fixed APs (e.g., the proprietary APs, the public third party APs, the private third party APs, etc.) may be directly connected to the local infrastructure provider and/or to the wireline/wireless backbone. Also for example, the example network 200 may comprise a mesh between the various APs via wireless technologies. Note, however, that various wired technologies may also be utilized depending on the implementation. As shown, different fixed hotspot access networks can be connected to a same backbone provider, but may also be connected to different respective backbone providers. In an example implementation utilizing wireless technology for backbone access, such an implementation may be relatively fault tolerant. For example, a Fixed AP may utilize wireless communications to the backbone network (e.g., cellular, 3G, LTE, other wide or metropolitan area networks, etc.) if the backhaul infrastructure is down. Also for example, such an implementation may provide for relatively easy installation (e.g., a Fixed AP with no cable power source that can be placed virtually anywhere).

In the example network 200, the same Fixed AP can simultaneously provide access to multiple Fixed APs, Mobile APs (e.g., vehicle OBUs, etc.), devices, user devices, sensors, things, etc. For example, a plurality of mobile hotspot access networks (e.g., OBU-based networks, etc.) may utilize the same Fixed AP. Also for example, the same Fixed AP can provide a plurality of simultaneous accesses to another single unit (e.g., another Fixed AP, Mobile AP, device, etc.), for example utilizing different channels, different radios, etc.).

Note that a plurality of Fixed APs may be utilized for fault-tolerance/fail-recovery purposes. In an example implementation, a Fixed AP and its fail-over AP may both be normally operational (e.g., in a same switch). Also for example, one or more Fixed APs may be placed in the network at various locations in an inactive or monitoring mode, and ready to become operational when needed (e.g., in response to a fault, in response to an emergency services need, in response to a data surge, etc.).

Referring back to FIG. 1, the example Fixed Hotspot Access Network is shown with a wireless communication link to a backbone provider (e.g., to one or more Backbone Providers and/or Local Infrastructure Providers), to a Mobile Hotspot Access Network, to one or more End User Devices, and to the Environment. Also, the example Fixed Hotspot Access Network is shown with a wired communication link to one or more Backbone Providers, to the Mobile Hotspot Access Network, to one or more End User Devices, and to the Environment. The Environment may comprise any of a variety of devices (e.g., in-vehicle networks, devices, and sensors; autonomous vehicle networks, devices, and sensors; maritime (or watercraft) and port networks, devices, and sensors; general controlled-space networks, devices, and sensors; residential networks, devices, and sensors; disaster recovery & emergency networks, devices, and sensors; military and aircraft networks, devices, and sensors; smart city networks, devices, and sensors; event (or venue) networks, devices, and sensors; underwater and underground networks, devices, and sensors; agricultural networks, devices, and sensors; tunnel (auto, subway, train, etc.) networks, devices, and sensors; parking networks, devices, and sensors; security and surveillance networks, devices, and sensors; shipping equipment and container networks, devices, and sensors; environmental control or monitoring networks, devices, and sensors; municipal networks, devices, and sensors; waste management networks, devices, and sensors, road maintenance networks, devices, and sensors, traffic management networks, devices, and sensors; advertising networks, devices and sensors; etc.).

The example network 100 of FIG. 1 also comprises a Mobile Hotspot Access Network. Various example characteristics of such a Mobile Hotspot Access Network 300 are shown at FIG. 3. Note that various fixed network components (e.g., Fixed APs) are also illustrated. The example network 300 may, for example, share any or all characteristics with the other example networks and/or network components 100, 200, 400, 500-570, and 600 discussed herein.

The example network 300 comprises a wide variety of Mobile APs (or hotspots) that provide access to user devices, provide for sensor data collection, provide multi-hop connectivity to other Mobile APs, etc. For example, the example network 300 comprises vehicles from different fleets (e.g., aerial, terrestrial, underground, (under)water, etc.). For example, the example network 300 comprises one or more mass distribution/transportation fleets, one or more mass passenger transportation fleets, private/public shared-user fleets, private vehicles, urban and municipal fleets, maintenance fleets, drones, watercraft (e.g., boats, ships, speedboats, tugboats, barges, etc.), emergency fleets (e.g., police, ambulance, firefighter, etc.), etc.

The example network 300, for example, shows vehicles from different fleets directly connected and/or mesh connected, for example using same or different communication technologies. The example network 300 also shows fleets simultaneously connected to different Fixed APs, which may or may not belong to different respective local infrastructure providers. As a fault-tolerance mechanism, the example network 300 may for example comprise the utilization of long-range wireless communication network (e.g., cellular, 3G, 4G, LTE, etc.) in vehicles if the local network infrastructure is down or otherwise unavailable. A same vehicle (e.g., Mobile AP or OBU) can simultaneously provide access to multiple vehicles, devices, things, etc., for example using a same communication technology (e.g., shared channels and/or different respective channels thereof) and/or using a different respective communication technology for each. Also for example, a same vehicle can provide multiple accesses to another vehicle, device, thing, etc., for example using a same communication technology (e.g., shared channels and/or different respective channels thereof, and/or using a different communication technology).

Additionally, multiple network elements may be connected together to provide for fault-tolerance or fail recovery, increased throughput, or to achieve any or a variety of a client's networking needs, many of examples of which are provided herein. For example, two Mobile APs (or OBUs) may be installed in a same vehicle, etc.

Referring back to FIG. 1, the example Mobile Hotspot Access Network is shown with a wireless communication link to a backbone provider (e.g., to one or more Backbone Providers and/or Local Infrastructure Providers), to a Fixed Hotspot Access Network, to one or more End User Device, and to the Environment (e.g., to any one of more of the sensors or systems discussed herein, any other device or machine, etc.). Though the Mobile Hotspot Access Network is not shown having a wired link to the various other components, there may (at least at times) be such a wired link, at least temporarily.

The example network 100 of FIG. 1 also comprises a set of End-User Devices. Various example end user devices are shown at FIG. 4. Note that various other network components (e.g., Fixed Hotspot Access Networks, Mobile Hotspot Access Network(s), the Backbone/Core, etc.) are also illustrated. The example network 400 may, for example, share any or all characteristics with the other example networks and/or network components 100, 200, 300, 500-570, and 600, discussed herein.

The example network 400 shows various mobile networked devices. Such network devices may comprise end-user devices (e.g., smartphones, tablets, smartwatches, laptop computers, webcams, personal gaming devices, personal navigation devices, personal media devices, personal cameras, health-monitoring devices, personal location devices, monitoring panels, printers, etc.). Such networked devices may also comprise any of a variety of devices operating in the general environment, where such devices might not for example be associated with a particular user (e.g. any or all of the sensor devices discussed herein, vehicle sensors, municipal sensors, fleet sensors road sensors, environmental sensors, security sensors, traffic sensors, waste sensors, meteorological sensors, any of a variety of different types of municipal or enterprise equipment, etc.). Any of such networked devices can be flexibly connected to distinct backbone, fixed hotspot access networks, mobile hotspot access networks, etc., using the same or different wired/wireless technologies.

A mobile device may, for example, operate as an AP to provide simultaneous access to multiple devices/things, which may then form ad hoc networks, interconnecting devices ultimately connected to distinct backbone networks, fixed hotspot, and/or mobile hotspot access networks. Devices (e.g., any or all of the devices or network nodes discussed herein) may, for example, have redundant technologies to access distinct backbone, fixed hotspot, and/or mobile hotspot access networks, for example for fault-tolerance and/or load-balancing purposes (e.g., utilizing multiple SIM cards, etc.). A device may also, for example, simultaneously access distinct backbone, fixed hotspot access networks, and/or mobile hotspot access networks, belonging to the same provider or to different respective providers. Additionally for example, a device can provide multiple accesses to another device/thing (e.g., via different channels, radios, etc.).

Referring back to FIG. 1, the example End-User Devices are shown with a wireless communication link to a backbone provider (e.g., to one or more Backbone Providers and/or Local Infrastructure Providers), to a Fixed Hotspot Access Network, to a Mobile Hotspot Access Network, and to the Environment. Also for example, the example End-User Devices are shown with a wired communication link to a backbone provider, to a Fixed Hotspot Access Network, to a Mobile Hotspot Access Network, and to the Environment.

The example network 100 illustrated in FIG. 1 has a flexible architecture that is adaptable at implementation time (e.g., for different use cases) and/or adaptable in real-time, for example as network components enter and leave service. FIGS. 5A-5C illustrate such flexibility by providing example modes (or configurations). The example networks 500-570 may, for example, share any or all characteristics with the other example networks and/or network components 100, 200, 300, 400, and 600, discussed herein. For example and without limitation, any or all of the communication links (e.g., wired links, wireless links, etc.) shown in the example networks 500-570 are generally analogous to similarly positioned communication links shown in the example network 100 of FIG. 1.

For example, various aspects of this disclosure provide communication network architectures, systems, and methods for supporting a dynamically configurable communication network comprising a complex array of both static and moving communication nodes (e.g., the Internet of moving things). For example, a communication network implemented in accordance with various aspects of the present disclosure may operate in one of a plurality of modalities comprising various fixed nodes, mobile nodes, and/or a combination thereof, which are selectable to yield any of a variety of system goals (e.g., increased throughput, reduced latency and packet loss, increased availability and robustness of the system, extra redundancy, increased responsiveness, increased security in the transmission of data and/or control packets, reduced number of configuration changes by incorporating smart thresholds (e.g., change of technology, change of certificate, change of IP, etc.), providing connectivity in dead zones or zones with difficult access, reducing the costs for maintenance and accessing the equipment for updating/upgrading, etc.). At least some of such modalities may, for example, be entirely comprised of fixed-position nodes, at least temporarily if not permanently.

For illustrative simplicity, many of the example aspects shown in the example system or network 100 of FIG. 1 (and other Figures herein) are omitted from FIGS. 5A-5C, but may be present. For example, the Cloud, Internet, and ISP aspects shown in FIG. 1 and in other Figures are not explicitly shown in FIGS. 5A-5C, but may be present in any of the example configurations (e.g., as part of the backbone provider network or coupled thereto, as part of the local infrastructure provider network or coupled thereto, etc.).

For example, the first example mode 500 is presented as a normal execution mode, for example a mode (or configuration) in which all of the components discussed herein are present. For example, the communication system in the first example mode 500 comprises a backbone provider network, a local infrastructure provider network, a fixed hotspot access network, a mobile hotspot access network, end-user devices, and environment devices.

As shown in FIG. 5A, and in FIG. 1 in more detail, the backbone provider network may be communicatively coupled to any or all of the other elements present in the first example mode 500 (or configuration) via one or more wired (or tethered) links. For example, the backbone provider network may be communicatively coupled to the local infrastructure provider network (or any component thereof), fixed hotspot access network (or any component thereof), the end-user devices, and/or environment devices via a wired link. Note that such a wired coupling may be temporary. Also note that in various example configurations, the backbone provider network may also, at least temporarily, be communicatively coupled to the mobile hotspot access network (or any component thereof) via one or more wired (or tethered) links.

Also shown in FIG. 5A, and in FIG. 1 in more detail, the backbone provider network may be communicatively coupled to any or all of the other elements present in the first example mode 500 (or configuration) via one or more wireless links (e.g., RF link, non-tethered optical link, etc.). For example, the backbone provider network may be communicatively coupled to the fixed hotspot access network (or any component thereof), the mobile hotspot access network (or any component thereof), the end-user devices, and/or environment devices via one or more wireless links. Also note that in various example configurations, the backbone provider network may also be communicatively coupled to the local infrastructure provider network via one or more wireless (or non-tethered) links.

Though not shown in the first example mode 500 (or any of the example modes of FIGS. 5A-5C), one or more servers may be communicatively coupled to the backbone provider network and/or the local infrastructure network. FIG. 1 provides an example of cloud servers being communicatively coupled to the backbone provider network via the Internet.

As additionally shown in FIG. 5A, and in FIG. 1 in more detail, the local infrastructure provider network may be communicatively coupled to any or all of the other elements present in the first example mode 500 (or configuration) via one or more wired (or tethered) links. For example, the local infrastructure provider network may be communicatively coupled to the backbone provider network (or any component thereof), fixed hotspot access network (or any component thereof), the end-user devices, and/or environment devices via one or more wired links. Note that such a wired coupling may be temporary. Also note that in various example configurations, the local infrastructure provider network may also, at least temporarily, be communicatively coupled to the mobile hotspot access network (or any component thereof) via one or more wired (or tethered) links.

Also, though not explicitly shown, the local infrastructure provider network may be communicatively coupled to any or all of the other elements present in the first example mode 500 (or configuration) via one or more wireless links (e.g., RF link, non-tethered optical link, etc.). For example, the local infrastructure provider network may be communicatively coupled to the backbone provider network (or any component thereof), the fixed hotspot access network (or any component thereof), the mobile hotspot access network (or any component thereof), the end-user devices, and/or environment devices via one or more wireless links. Note that the communication link shown in the first example mode 500 of FIG. 5A between the local infrastructure provider network and the fixed hotspot access network may be wired and/or wireless.

The fixed hotspot access network is also shown in the first example mode 500 to be communicatively coupled to the mobile hotspot access network, the end-user devices, and/or environment devices via one or more wireless links. Many examples of such wireless coupling are provided herein. Additionally, the mobile hotspot access network is further shown in the first example mode 500 to be communicatively coupled to the end-user devices and/or environment devices via one or more wireless links. Many examples of such wireless coupling are provided herein. Further, the end-user devices are also shown in the first example mode 500 to be communicatively coupled to the environment devices via one or more wireless links. Many examples of such wireless coupling are provided herein. Note that in various example implementations any of such wireless links may instead (or in addition) comprise a wired (or tethered) link.

In the first example mode 500 (e.g., the normal mode), information (or data) may be communicated between an end-user device and a server (e.g., a computer system) via the mobile hotspot access network, the fixed hotspot access network, the local infrastructure provider network, and/or the backbone provider network. As will be seen in the various example modes presented herein, such communication may flexibly occur between an end-user device and a server via any of a variety of different communication pathways, for example depending on the availability of a network, depending on bandwidth utilization goals, depending on communication priority, depending on communication time (or latency) and/or reliability constraints, depending on cost, etc. For example, information communicated between an end user device and a server may be communicated via the fixed hotspot access network, the local infrastructure provider network, and/or the backbone provider network (e.g., skipping the mobile hotspot access network). Also for example, information communicated between an end user device and a server may be communicated via the backbone provider network (e.g., skipping the mobile hotspot access network, fixed hotspot access network, and/or local infrastructure provider network).

Similarly, in the first example mode 500 (e.g., the normal mode), information (or data) may be communicated between an environment device and a server via the mobile hotspot access network, the fixed hotspot access network, the local infrastructure provider network, and/or the backbone provider network. Also for example, an environment device may communicate with or through an end-user device (e.g., instead of or in addition to the mobile hotspot access network). As will be seen in the various example modes presented herein, such communication may flexibly occur between an environment device and a server (e.g., communicatively coupled to the local infrastructure provider network and/or backbone provider network) via any of a variety of different communication pathways, for example depending on the availability of a network, depending on bandwidth utilization goals, depending on communication priority, depending on communication time (or latency) and/or reliability constraints, depending on cost, etc.

For example, information communicated between an environment device and a server may be communicated via the fixed hotspot access network, the local infrastructure provider network, and/or the backbone provider network (e.g., skipping the mobile hotspot access network). Also for example, information communicated between an environment device and a server may be communicated via the backbone provider network (e.g., skipping the mobile hotspot access network, fixed hotspot access network, and/or local infrastructure provider network). Additionally for example, information communicated between an environment device and a server may be communicated via the local infrastructure provider network (e.g., skipping the mobile hotspot access network and/or fixed hotspot access network).

As discussed herein, the example networks presented herein are adaptively configurable to operate in any of a variety of different modes (or configurations). Such adaptive configuration may occur at initial installation and/or during subsequent controlled network evolution (e.g., adding or removing any or all of the network components discussed herein, expanding or removing network capacity, adding or removing coverage areas, adding or removing services, etc.). Such adaptive configuration may also occur in real-time, for example in response to real-time changes in network conditions (e.g., networks or components thereof being available or not based on vehicle or user-device movement, network or component failure, network or component replacement or augmentation activity, network overloading, etc.). The following example modes are presented to illustrate characteristics of various modes in which a communication system may operate in accordance with various aspects of the present disclosure. The following example modes will generally be discussed in relation to the first example mode 500 (e.g., the normal execution mode). Note that such example modes are merely illustrative and not limiting.

The second example mode (or configuration) 510 (e.g., a no backbone available mode) may, for example, share any or all characteristics with the first example mode 500, albeit without the backbone provider network and communication links therewith. For example, the communication system in the second example mode 510 comprises a local infrastructure provider network, a fixed hotspot access network, a mobile hotspot access network, end-user devices, and environment devices.

As shown in FIG. 5A, and in FIG. 1 in more detail, the local infrastructure provider network may be communicatively coupled to any or all of the other elements present in the second example mode 510 (or configuration) via one or more wired (or tethered) links. For example, the local infrastructure provider network may be communicatively coupled to the fixed hotspot access network (or any component thereof), the end-user devices, and/or environment devices via one or more wired links. Note that such a wired coupling may be temporary. Also note that in various example configurations, the local infrastructure provider network may also, at least temporarily, be communicatively coupled to the mobile hotspot access network (or any component thereof) via one or more wired (or tethered) links.

Also, though not explicitly shown, the local infrastructure provider network may be communicatively coupled to any or all of the other elements present in the second example mode 510 (or configuration) via one or more wireless links (e.g., RF link, non-tethered optical link, etc.). For example, the local infrastructure provider network may be communicatively coupled to the fixed hotspot access network (or any component thereof), the mobile hotspot access network (or any component thereof), the end-user devices, and/or environment devices via one or more wireless links. Note that the communication link(s) shown in the second example mode 510 of FIG. 5A between the local infrastructure provider network and the fixed hotspot access network may be wired and/or wireless.

The fixed hotspot access network is also shown in the second example mode 510 to be communicatively coupled to the mobile hotspot access network, the end-user devices, and/or environment devices via one or more wireless links. Many examples of such wireless coupling are provided herein. Additionally, the mobile hotspot access network is further shown in the second example mode 510 to be communicatively coupled to the end-user devices and/or environment devices via one or more wireless links. Many examples of such wireless coupling are provided herein. Further, the end-user devices are also shown in the second example mode 510 to be communicatively coupled to the environment devices via one or more wireless links. Many examples of such wireless coupling are provided herein. Note that in various example implementations any of such wireless links may instead (or in addition) comprise a wired (or tethered) link.

In the second example mode 510 (e.g., the no backbone available mode), information (or data) may be communicated between an end-user device and a server (e.g., a computer, etc.) via the mobile hotspot access network, the fixed hotspot access network, and/or the local infrastructure provider network. As will be seen in the various example modes presented herein, such communication may flexibly occur between an end-user device and a server via any of a variety of different communication pathways, for example depending on the availability of a network, depending on bandwidth utilization goals, depending on communication priority, depending on communication time (or latency) and/or reliability constraints, depending on cost, etc. For example, information communicated between an end user device and a server may be communicated via the fixed hotspot access network and/or the local infrastructure provider network (e.g., skipping the mobile hotspot access network). Also for example, information communicated between an end user device and a server may be communicated via the local infrastructure provider network (e.g., skipping the mobile hotspot access network and/or fixed hotspot access network).

Similarly, in the second example mode 510 (e.g., the no backbone available mode), information (or data) may be communicated between an environment device and a server via the mobile hotspot access network, the fixed hotspot access network, and/or the local infrastructure provider network. Also for example, an environment device may communicate with or through an end-user device (e.g., instead of or in addition to the mobile hotspot access network). As will be seen in the various example modes presented herein, such communication may flexibly occur between an environment device and a server (e.g., communicatively coupled to the local infrastructure provider network) via any of a variety of different communication pathways, for example depending on the availability of a network, depending on bandwidth utilization goals, depending on communication priority, depending on communication time (or latency) and/or reliability constraints, depending on cost, etc.

For example, information communicated between an environment device and a server may be communicated via the fixed hotspot access network and/or the local infrastructure provider network (e.g., skipping the mobile hotspot access network). Also for example, information communicated between an environment device and a server may be communicated via the local infrastructure provider network (e.g., skipping the mobile hotspot access network and/or fixed hotspot access network).

The second example mode 510 may be utilized for any of a variety of reasons, non-limiting examples of which are provided herein. For example, due to security and/or privacy goals, the second example mode 510 may be utilized so that communication access to the public Cloud systems, the Internet in general, etc., is not allowed. For example, all network control and management functions may be within the local infrastructure provider network (e.g., wired local network, etc.) and/or the fixed access point network.

In an example implementation, the communication system might be totally owned, operated and/or controlled by a local port authority. No extra expenses associated with cellular connections need be spent. For example, cellular connection capability (e.g., in Mobile APs, Fixed APs, end user devices, environment devices, etc.) need not be provided. Note also that the second example mode 510 may be utilized in a scenario in which the backbone provider network is normally available but is currently unavailable (e.g., due to server failure, due to communication link failure, due to power outage, due to a temporary denial of service, etc.).

The third example mode (or configuration) 520 (e.g., a no local infrastructure and fixed hotspots available mode) may, for example, share any or all characteristics with the first example mode 500, albeit without the local infrastructure provider network, the fixed hotspot access network, and communication links therewith. For example, the communication system in the third example mode 520 comprises a backbone provider network, a mobile hotspot access network, end-user devices, and environment devices.

As shown in FIG. 5A, and in FIG. 1 in more detail, the backbone provider network may be communicatively coupled to any or all of the other elements present in the third example mode 520 (or configuration) via one or more wired (or tethered) links. For example, the backbone provider network may be communicatively coupled to the end-user devices and/or environment devices via one or more wired links. Note that such a wired coupling may be temporary. Also note that in various example configurations, the backbone provider network may also, at least temporarily, be communicatively coupled to the mobile hotspot access network (or any component thereof) via one or more wired (or tethered) links.

Also shown in FIG. 5A, and in FIG. 1 in more detail, the backbone provider network may be communicatively coupled to any or all of the other elements present in the third example mode 520 (or configuration) via one or more wireless links (e.g., RF link, non-tethered optical link, etc.). For example, the backbone provider network may be communicatively coupled to the mobile hotspot access network (or any component thereof), the end-user devices, and/or environment devices via one or more wireless links.

The mobile hotspot access network is further shown in the third example mode 520 to be communicatively coupled to the end-user devices and/or environment devices via one or more wireless links. Many examples of such wireless coupling are provided herein. Further, the end-user devices are also shown in the third example mode 520 to be communicatively coupled to the environment devices via one or more wireless links. Many examples of such wireless coupling are provided herein. Note that in various example implementations any of such wireless links may instead (or in addition) comprise a wired (or tethered) link.

In the third example mode 520 (e.g., the no local infrastructure and fixed hotspots available mode), information (or data) may be communicated between an end-user device and a server (e.g., a computer, etc.) via the mobile hotspot access network and/or the backbone provider network. As will be seen in the various example modes presented herein, such communication may flexibly occur between an end-user device and a server via any of a variety of different communication pathways, for example depending on the availability of a network, depending on bandwidth utilization goals, depending on communication priority, depending on communication time (or latency) and/or reliability constraints, depending on cost, etc. For example, information communicated between an end user device and a server may be communicated via the backbone provider network (e.g., skipping the mobile hotspot access network).

Similarly, in the third example mode 520 (e.g., the no local infrastructure and fixed hotspots available mode), information (or data) may be communicated between an environment device and a server via the mobile hotspot access network and/or the backbone provider network. Also for example, an environment device may communicate with or through an end-user device (e.g., instead of or in addition to the mobile hotspot access network). As will be seen in the various example modes presented herein, such communication may flexibly occur between an environment device and a server (e.g., communicatively coupled to the backbone provider network) via any of a variety of different communication pathways, for example depending on the availability of a network, depending on bandwidth utilization goals, depending on communication priority, depending on communication time (or latency) and/or reliability constraints, depending on cost, etc. For example, information communicated between an environment device and a server may be communicated via the backbone provider network (e.g., skipping the mobile hotspot access network).

In the third example mode 520, all control/management functions may for example be implemented within the Cloud. For example, since the mobile hotspot access network does not have a communication link via a fixed hotspot access network, the Mobile APs may utilize a direct connection (e.g., a cellular connection) with the backbone provider network (or Cloud). If a Mobile AP does not have such capability, the Mobile AP may also, for example, utilize data access provided by the end-user devices communicatively coupled thereto (e.g., leveraging the data plans of the end-user devices).

The third example mode 520 may be utilized for any of a variety of reasons, non-limiting examples of which are provided herein. In an example implementation, the third example mode 520 may be utilized in an early stage of a larger deployment, for example deployment that will grow into another mode (e.g., the example first mode 500, example fourth mode 530, etc.) as more communication system equipment is installed. Note also that the third example mode 520 may be utilized in a scenario in which the local infrastructure provider network and fixed hotspot access network are normally available but are currently unavailable (e.g., due to equipment failure, due to communication link failure, due to power outage, due to a temporary denial of service, etc.).

The fourth example mode (or configuration) 530 (e.g., a no fixed hotspots available mode) may, for example, share any or all characteristics with the first example mode 500, albeit without the fixed hotspot access network and communication links therewith. For example, the communication system in the fourth example mode 530 comprises a backbone provider network, a local infrastructure provider network, a mobile hotspot access network, end-user devices, and environment devices.

As shown in FIG. 5B, and in FIG. 1 in more detail, the backbone provider network may be communicatively coupled to any or all of the other elements present in the fourth example mode 530 (or configuration) via one or more wired (or tethered) links. For example, the backbone provider network may be communicatively coupled to the local infrastructure provider network (or any component thereof), the end-user devices, and/or environment devices via one or more wired links. Note that such a wired coupling may be temporary. Also note that in various example configurations, the backbone provider network may also, at least temporarily, be communicatively coupled to the mobile hotspot access network (or any component thereof) via one or more wired (or tethered) links.

Also shown in FIG. 5B, and in FIG. 1 in more detail, the backbone provider network may be communicatively coupled to any or all of the other elements present in the fourth example mode 530 (or configuration) via one or more wireless links (e.g., RF link, non-tethered optical link, etc.). For example, the backbone provider network may be communicatively coupled to the mobile hotspot access network (or any component thereof), the end-user devices, and/or environment devices via one or more wireless links. Also note that in various example configurations, the backbone provider network may also be communicatively coupled to the local infrastructure provider network via one or more wireless (or non-tethered) links.

As additionally shown in FIG. 5B, and in FIG. 1 in more detail, the local infrastructure provider network may be communicatively coupled to any or all of the other elements present in the fourth example mode 530 (or configuration) via one or more wired (or tethered) links. For example, the local infrastructure provider network may be communicatively coupled to the backbone provider network (or any component thereof), the end-user devices, and/or environment devices via one or more wired links. Note that such a wired coupling may be temporary. Also note that in various example configurations, the local infrastructure provider network may also, at least temporarily, be communicatively coupled to the mobile hotspot access network (or any component thereof) via one or more wired (or tethered) links.

Also, though not explicitly shown, the local infrastructure provider network may be communicatively coupled to any or all of the other elements present in the fourth example mode 530 (or configuration) via one or more wireless links (e.g., RF link, non-tethered optical link, etc.). For example, the local infrastructure provider network may be communicatively coupled to the backbone provider network (or any component thereof), the mobile hotspot access network (or any component thereof), the end-user devices, and/or environment devices via one or more wireless links.

The mobile hotspot access network is further shown in the fourth example mode 530 to be communicatively coupled to the end-user devices and/or environment devices via one or more wireless links. Many examples of such wireless coupling are provided herein. Further, the end-user devices are also shown in the fourth example mode 530 to be communicatively coupled to the environment devices via one or more wireless links. Many examples of such wireless coupling are provided herein.

In the fourth example mode 530 (e.g., the no fixed hotspots mode), information (or data) may be communicated between an end-user device and a server via the mobile hotspot access network, the local infrastructure provider network, and/or the backbone provider network. As will be seen in the various example modes presented herein, such communication may flexibly occur between an end-user device and a server via any of a variety of different communication pathways, for example depending on the availability of a network, depending on bandwidth utilization goals, depending on communication priority, depending on communication time (or latency) and/or reliability constraints, depending on cost, etc. For example, information communicated between an end user device and a server may be communicated via the local infrastructure provider network and/or the backbone provider network (e.g., skipping the mobile hotspot access network). Also for example, information communicated between an end user device and a server may be communicated via the backbone provider network (e.g., skipping the mobile hotspot access network and/or local infrastructure provider network).

Similarly, in the fourth example mode 530 (e.g., the no fixed hotspots available mode), information (or data) may be communicated between an environment device and a server via the mobile hotspot access network, the local infrastructure provider network, and/or the backbone provider network. Also for example, an environment device may communicate with or through an end-user device (e.g., instead of or in addition to the mobile hotspot access network). As will be seen in the various example modes presented herein, such communication may flexibly occur between an environment device and a server (e.g., communicatively coupled to the local infrastructure provider network and/or backbone provider network) via any of a variety of different communication pathways, for example depending on the availability of a network, depending on bandwidth utilization goals, depending on communication priority, depending on communication time (or latency) and/or reliability constraints, depending on cost, etc.

For example, information communicated between an environment device and a server may be communicated via the local infrastructure provider network and/or the backbone provider network (e.g., skipping the mobile hotspot access network). Also for example, information communicated between an environment device and a server may be communicated via the backbone provider network (e.g., skipping the mobile hotspot access network and/or local infrastructure provider network). Additionally for example, information communicated between an environment device and a server may be communicated via the local infrastructure provider network (e.g., skipping the mobile hotspot access network and/or backbone provider network).

In the fourth example mode 530, in an example implementation, some of the control/management functions may for example be implemented within the local backbone provider network (e.g., within a client premises). For example, communication to the local infrastructure provider may be performed through the backbone provider network (or Cloud). Note that in a scenario in which there is a direct communication pathway between the local infrastructure provider network and the mobile hotspot access network, such communication pathway may be utilized.

For example, since the mobile hotspot access network does not have a communication link via a fixed hotspot access network, the Mobile APs may utilize a direct connection (e.g., a cellular connection) with the backbone provider network (or Cloud). If a Mobile AP does not have such capability, the Mobile AP may also, for example, utilize data access provided by the end-user devices communicatively coupled thereto (e.g., leveraging the data plans of the end-user devices).

The fourth example mode 530 may be utilized for any of a variety of reasons, non-limiting examples of which are provided herein. In an example implementation, the fourth example mode 530 may be utilized in an early stage of a larger deployment, for example a deployment that will grow into another mode (e.g., the example first mode 500, etc.) as more communication system equipment is installed. The fourth example mode 530 may, for example, be utilized in a scenario in which there is no fiber (or other) connection available for Fixed APs (e.g., in a maritime scenario, in a plantation scenario, etc.), or in which a Fixed AP is difficult to access or connect. For example, one or more Mobile APs of the mobile hotspot access network may be used as gateways to reach the Cloud. The fourth example mode 530 may also, for example, be utilized when a vehicle fleet and/or the Mobile APs associated therewith are owned by a first entity and the Fixed APs are owned by another entity, and there is no present agreement for communication between the Mobile APs and the Fixed APs. Note also that the fourth example mode 530 may be utilized in a scenario in which the fixed hotspot access network is normally available but are currently unavailable (e.g., due to equipment failure, due to communication link failure, due to power outage, due to a temporary denial of service, etc.).

The fifth example mode (or configuration) 540 (e.g., a no mobile hotspots available mode) may, for example, share any or all characteristics with the first example mode 500, albeit without the mobile hotspot access network and communication links therewith. For example, the communication system in the fifth example mode 540 comprises a backbone provider network, a local infrastructure provider network, a fixed hotspot access network, end-user devices, and environment devices.

As shown in FIG. 5B, and in FIG. 1 in more detail, the backbone provider network may be communicatively coupled to any or all of the other elements present in the fifth example mode 540 (or configuration) via one or more wired (or tethered) links. For example, the backbone provider network may be communicatively coupled to the local infrastructure provider network (or any component thereof), fixed hotspot access network (or any component thereof), the end-user devices, and/or environment devices via one or more wired links. Note that such a wired coupling may be temporary.

Also shown in FIG. 5B, and in FIG. 1 in more detail, the backbone provider network may be communicatively coupled to any or all of the other elements present in the fifth example mode 540 (or configuration) via one or more wireless links (e.g., RF link, non-tethered optical link, etc.). For example, the backbone provider network may be communicatively coupled to the fixed hotspot access network (or any component thereof), the end-user devices, and/or environment devices via one or more wireless links. Also note that in various example configurations, the backbone provider network may also be communicatively coupled to the local infrastructure provider network via one or more wireless (or non-tethered) links.

As additionally shown in FIG. 5B, and in FIG. 1 in more detail, the local infrastructure provider network may be communicatively coupled to any or all of the other elements present in the fifth example mode 540 (or configuration) via one or more wired (or tethered) links. For example, the local infrastructure provider network may be communicatively coupled to the backbone provider network (or any component thereof), fixed hotspot access network (or any component thereof), the end-user devices, and/or environment devices via one or more wired links. Note that such a wired coupling may be temporary. Also note that in various example configurations, the local infrastructure provider network may also, at least temporarily, be communicatively coupled to the mobile hotspot access network (or any component thereof) via one or more wired (or tethered) links.

Also, though not explicitly shown, the local infrastructure provider network may be communicatively coupled to any or all of the other elements present in the fifth example mode 540 (or configuration) via one or more wireless links (e.g., RF link, non-tethered optical link, etc.). For example, the local infrastructure provider network may be communicatively coupled to the backbone provider network, the fixed hotspot access network (or any component thereof), the end-user devices, and/or environment devices via one or more wireless links. Note that the communication link(s) shown in the fifth example mode 540 of FIG. 5B between the local infrastructure provider network and the fixed hotspot access network may be wired and/or wireless.

The fixed hotspot access network is also shown in the fifth example mode 540 to be communicatively coupled to the end-user devices and/or environment devices via one or more wireless links. Many examples of such wireless coupling are provided herein. Further, the end-user devices are also shown in the fifth example mode 540 to be communicatively coupled to the environment devices via one or more wireless links. Many examples of such wireless coupling are provided herein.

In the fifth example mode 540 (e.g., the no mobile hotspots available mode), information (or data) may be communicated between an end-user device and a server via the fixed hotspot access network, the local infrastructure provider network, and/or the backbone provider network. As will be seen in the various example modes presented herein, such communication may flexibly occur between an end-user device and a server via any of a variety of different communication pathways, for example depending on the availability of a network, depending on bandwidth utilization goals, depending on communication priority, depending on communication time (or latency) and/or reliability constraints, depending on cost, etc. For example, information communicated between an end user device and a server may be communicated via the local infrastructure provider network, and/or the backbone provider network (e.g., skipping the fixed hotspot access network). Also for example, information communicated between an end user device and a server may be communicated via the backbone provider network (e.g., skipping the fixed hotspot access network and/or local infrastructure provider network).

Similarly, in the fifth example mode 540 (e.g., the no mobile hotspots available mode), information (or data) may be communicated between an environment device and a server via the fixed hotspot access network, the local infrastructure provider network, and/or the backbone provider network. Also for example, an environment device may communicate with or through an end-user device (e.g., instead of or in addition to the fixed hotspot access network). As will be seen in the various example modes presented herein, such communication may flexibly occur between an environment device and a server (e.g., communicatively coupled to the local infrastructure provider network and/or backbone provider network) via any of a variety of different communication pathways, for example depending on the availability of a network, depending on bandwidth utilization goals, depending on communication priority, depending on communication time (or latency) and/or reliability constraints, depending on cost, etc.

For example, information communicated between an environment device and a server may be communicated via the local infrastructure provider network and/or the backbone provider network (e.g., skipping the fixed hotspot access network). Also for example, information communicated between an environment device and a server may be communicated via the backbone provider network (e.g., skipping the fixed hotspot access network and/or local infrastructure provider network). Additionally for example, information communicated between an environment device and a server may be communicated via the local infrastructure provider network (e.g., skipping the fixed hotspot access network and/or the backbone provider network).

In the fifth example mode 540, in an example implementation, the end-user devices and environment devices may communicate directly to Fixed APs (e.g., utilizing Ethernet, Wi-Fi, etc.). Also for example, the end-user devices and/or environment devices may communicate directly with the backbone provider network (e.g., utilizing cellular connections, etc.).

The fifth example mode 540 may be utilized for any of a variety of reasons, non-limiting examples of which are provided herein. In an example implementation in which end-user devices and/or environment devices may communicate directly with Fixed APs, such communication may be utilized instead of Mobile AP communication. For example, the fixed hotspot access network might provide coverage for all desired areas.

Note also that the fifth example mode 540 may be utilized in a scenario in which the fixed hotspot access network is normally available but is currently unavailable (e.g., due to equipment failure, due to communication link failure, due to power outage, due to a temporary denial of service, etc.).

The sixth example mode (or configuration) 550 (e.g., the no fixed/mobile hotspots and local infrastructure available mode) may, for example, share any or all characteristics with the first example mode 500, albeit without the local infrastructure provider network, fixed hotspot access network, mobile hotspot access network, and communication links therewith. For example, the communication system in the sixth example mode 550 comprises a backbone provider network, end-user devices, and environment devices.

As shown in FIG. 5B, and in FIG. 1 in more detail, the backbone provider network may be communicatively coupled to any or all of the other elements present in the sixth example mode 550 (or configuration) via one or more wired (or tethered) links. For example, the backbone provider network may be communicatively coupled to the end-user devices and/or environment devices via one or more wired links. Note that such a wired coupling may be temporary.

Also shown in FIG. 5B, and in FIG. 1 in more detail, the backbone provider network may be communicatively coupled to any or all of the other elements present in the sixth example mode 550 (or configuration) via one or more wireless links (e.g., RF link, non-tethered optical link, etc.). For example, the backbone provider network may be communicatively coupled to the end-user devices and/or environment devices via one or more wireless links.

The end-user devices are also shown in the sixth example mode 550 to be communicatively coupled to the environment devices via one or more wireless links. Many examples of such wireless coupling are provided herein.

In the sixth example mode 550 (e.g., the no fixed/mobile hotspots and local infrastructure available mode), information (or data) may be communicated between an end-user device and a server via the backbone provider network. Similarly, in the sixth example mode 550 (e.g., the no fixed/mobile hotspots and local infrastructure mode), information (or data) may be communicated between an environment device and a server via the backbone provider network. Also for example, an environment device may communicate with or through an end-user device (e.g., instead of or in addition to the mobile hotspot access network).

The sixth example mode 550 may be utilized for any of a variety of reasons, non-limiting examples of which are provided herein. In an example implementation, for example in which an end-user has not yet subscribed to the communication system, the end-user device may subscribe to the system through a Cloud application and by communicating directly with the backbone provider network (e.g., via cellular link, etc.). The sixth example mode 550 may also, for example, be utilized in rural areas in which Mobile AP presence is sparse, Fixed AP installation is difficult or impractical, etc.

Note also that the sixth example mode 550 may be utilized in a scenario in which the infrastructure provider network, fixed hotspot access network, and/or mobile hotspot access network are normally available but are currently unavailable (e.g., due to equipment failure, due to communication link failure, due to power outage, due to a temporary denial of service, etc.).

The seventh example mode (or configuration) 560 (e.g., the no backbone and mobile hotspots available mode) may, for example, share any or all characteristics with the first example mode 500, albeit without the backbone provider network, mobile hotspot access network, and communication links therewith. For example, the communication system in the seventh example mode 560 comprises a local infrastructure provider network, fixed hotspot access network, end-user devices, and environment devices.

As shown in FIG. 5C, and in FIG. 1 in more detail, the local infrastructure provider network may be communicatively coupled to any or all of the other elements present in the seventh example mode 560 (or configuration) via one or more wired (or tethered) links. For example, the local infrastructure provider network may be communicatively coupled to the fixed hotspot access network (or any component thereof), the end-user devices, and/or environment devices via one or more wired links. Note that such a wired coupling may be temporary.

Also, though not explicitly shown, the local infrastructure provider network may be communicatively coupled to any or all of the other elements present in the seventh example mode 560 (or configuration) via one or more wireless links (e.g., RF link, non-tethered optical link, etc.). For example, the local infrastructure provider network may be communicatively coupled to the fixed hotspot access network (or any component thereof), the end-user devices, and/or environment devices via one or more wireless links. Note that the communication link shown in the seventh example mode 560 of FIG. 5C between the local infrastructure provider network and the fixed hotspot access network may be wired and/or wireless.

The fixed hotspot access network is also shown in the seventh example mode 560 to be communicatively coupled to the end-user devices and/or environment devices via one or more wireless links. Many examples of such wireless coupling are provided herein. Additionally, the end-user devices are also shown in the seventh example mode 560 to be communicatively coupled to the environment devices via one or more wireless links. Many examples of such wireless coupling are provided herein.

In the seventh example mode 560 (e.g., the no backbone and mobile hotspots available mode), information (or data) may be communicated between an end-user device and a server via the fixed hotspot access network and/or the local infrastructure provider network. As will be seen in the various example modes presented herein, such communication may flexibly occur between an end-user device and a server via any of a variety of different communication pathways, for example depending on the availability of a network, depending on bandwidth utilization goals, depending on communication priority, depending on communication time (or latency) and/or reliability constraints, depending on cost, etc. For example, information communicated between an end user device and a server may be communicated via the local infrastructure provider network (e.g., skipping the fixed hotspot access network).

Similarly, in the seventh example mode 560 (e.g., the no backbone and mobile hotspots available mode), information (or data) may be communicated between an environment device and a server via the fixed hotspot access network and/or the local infrastructure provider network. Also for example, an environment device may communicate with or through an end-user device (e.g., instead of or in addition to the mobile hotspot access network). As will be seen in the various example modes presented herein, such communication may flexibly occur between an environment device and a server (e.g., communicatively coupled to the local infrastructure provider network) via any of a variety of different communication pathways, for example depending on the availability of a network, depending on bandwidth utilization goals, depending on communication priority, depending on communication time (or latency) and/or reliability constraints, depending on cost, etc. For example, information communicated between an environment device and a server may be communicated via the local infrastructure provider network (e.g., skipping the fixed hotspot access network).

The seventh example mode 560 may be utilized for any of a variety of reasons, non-limiting examples of which are provided herein. In an example controlled space implementation, Cloud access might not be provided (e.g., for security reasons, privacy reasons, etc.), and full (or sufficient) coverage of the coverage area is provided by the fixed hotspot access network, and thus the mobile hotspot access network is not needed. For example, the end-user devices and environment devices may communicate directly (e.g., via Ethernet, Wi-Fi, etc.) with the Fixed APs

Note also that the seventh example mode 560 may be utilized in a scenario in which the backbone provider network and/or fixed hotspot access network are normally available but are currently unavailable (e.g., due to equipment failure, due to communication link failure, due to power outage, due to a temporary denial of service, etc.).

The eighth example mode (or configuration) 570 (e.g., the no backbone, fixed hotspots, and local infrastructure available mode) may, for example, share any or all characteristics with the first example mode 500, albeit without the backbone provider network, local infrastructure provider network, fixed hotspot access network, and communication links therewith. For example, the communication system in the eighth example mode 570 comprises a mobile hotspot access network, end-user devices, and environment devices.

As shown in FIG. 5C, and in FIG. 1 in more detail, the mobile hotspot access network is shown in the eighth example mode 570 to be communicatively coupled to the end-user devices and/or environment devices via one or more wireless links. Many examples of such wireless coupling are provided herein. Further, the end-user devices are also shown in the eighth example mode 570 to be communicatively coupled to the environment devices via one or more wireless links. Many examples of such wireless coupling are provided herein.

In the eighth example mode 570 (e.g., the no backbone, fixed hotspots, and local infrastructure available mode), information (or data) might not (at least currently) be communicated between an end-user device and a server (e.g., a coupled to the backbone provider network, local infrastructure provider network, etc.). Similarly, information (or data) might not (at least currently) be communicated between an environment device and a server (e.g., a coupled to the backbone provider network, local infrastructure provider network, etc.). Note that the environment device may communicate with or through an end-user device (e.g., instead of or in addition to the mobile hotspot access network).

The eighth example mode 570 may be utilized for any of a variety of reasons, non-limiting examples of which are provided herein. In an example implementation, the eighth example mode 570 may be utilized for gathering and/or serving data (e.g., in a delay-tolerant networking scenario), providing peer-to-peer communication through the mobile hotspot access network (e.g., between clients of a single Mobile AP, between clients of respective different Mobile APs, etc.), etc. In another example scenario, the eighth example mode 570 may be utilized in a scenario in which vehicle-to-vehicle communications are prioritized above vehicle-to-infrastructure communications. In yet another example scenario, the eighth example mode 570 may be utilized in a scenario in which all infrastructure access is lost (e.g., in tunnels, parking garages, etc.).

Note also that the eighth example mode 570 may be utilized in a scenario in which the backbone provider network, local infrastructure provider network, and/or fixed hotspot access network are normally available but are currently unavailable (e.g., due to equipment failure, due to communication link failure, due to power outage, due to a temporary denial of service, etc.).

As shown and discussed herein, it is beneficial to have a generic platform that allows multi-mode communications of multiple users or machines within different environments, using multiple devices with multiple technologies, connected to multiple moving/static things with multiple technologies, forming wireless (mesh) hotspot networks over different environments, connected to multiple wired/wireless infrastructure/network backbone providers, ultimately connected to the Internet, Cloud or private network infrastructure.

FIG. 6 shows yet another block diagram of an example network configuration, in accordance with various aspects of the present disclosure. The example network 600 may, for example, share any or all characteristics with the other example networks and/or network components 100, 200, 300, 400, and 500-570, discussed herein. Notably, the example network 600 shows a plurality of Mobile APs (or OBUs), each communicatively coupled to a Fixed AP (or RSU), where each Mobile AP may provide network access to a vehicle network (e.g., comprising other vehicles or vehicle networks, user devices, sensor devices, etc.). In an example implementation of this disclosure, each of the mobile APs may comprise a GPS receiver or be communicatively coupled to a GPS receiver of the vehicle in which it resides.

In accordance with various aspects of the present disclosure, systems and methods are provided that manage a vehicle communication network, for example in accordance with the location of nodes and end devices, in a way that provides for stable TCP/IP Internet access, among other things. For example, an end user may be provided with a clean and stable Wi-Fi Internet connection that may appear to the end user to be the same as the Wi-Fi Internet connection at the user's home, user's workplace, fixed public Wi-Fi hotspots, etc. For example, for a user utilizing a communication network as described herein, a TCP session may stay active, downloads may process normally, calls may proceed without interruption, etc. As discussed herein, a vehicle communication network in accordance with various aspects of this disclosure may be applied as a transport layer for regular Internet traffic and/or for private network traffic (e.g., extending the access of customer private LANs from the wired network to vehicles and users around them, etc.).

In accordance with an example network implementation, although a user might be always connected to a single Wi-Fi AP of a vehicle, the vehicle (or the access point thereof, for example an OBU) is moving between multiple access points (e.g., Fixed APs, other Mobile APs, cellular base stations, fixed Wi-Fi hotspots, etc.). For example, mobility management implemented in accordance with various aspects of the present disclosure supports the mobility of each vehicle and its users across different communication technologies (e.g., 802.11p, cellular, Wi-Fi, etc.) as the Mobile APs migrate among Fixed APs (and/or Mobile APs) and/or as users migrate between Mobile APs.

In accordance with various aspects of the present disclosure, a mobility controller (MC), which may also be referred to as an LMA or Network Controller, may monitor the location (e.g., network location, etc.) of various nodes (e.g., Mobile APs, etc.) and/or the location of end users connected through them. The mobility controller (MC) may, for example, provide seamless handovers (e.g., maintaining communication session continuity) between different access points and/or different technologies with low link latency and low handover times.

The architecture provided herein is scalable, for example taking advantage of redundant elements and/or functionality to provide load-balancing of control and/or data communication functionality, as well as to decrease failure probability. Various aspects of the present disclosure also provide for decreased control signaling (e.g., in amount and/or frequency), which reduces the control overhead and reduces the size of control tables and tunneling, for example both in backend servers and in APs (e.g., Fixed APs and/or Mobile APs).

Additionally, a communication network (or components thereof) in accordance with various aspects of this disclosure may comprise the ability to interact with mobile devices in order to control some or all of their connection choices and/or to leverage their control functionality. For example, in an example implementation, a mobile application can run in the background, managing the available networks and/or nodes thereof and selecting the one that best fits, and then triggering a handoff to the selected network (or node thereof) before breakdown of the current connection.

The communication network (or components thereof) is also configurable, according to the infrastructure requirements and/or mobility needs of each client, etc. For example, the communication network (or components thereof) may comprise the capability to support different Layer 2 (L2) or Layer 3 (L3) implementations, or combinations thereof, as well as IPv4/IPv6 traffic.

In accordance with various aspects of this disclosure, examples of the networks and/or components thereof presented herein are provided in U.S. Provisional Application Ser. No. 62/222,192, titled “Communication Network of Moving Things,” filed on Sep. 22, 2015, which is hereby incorporated herein by reference in its entirety.

In accordance with various aspects of this disclosure, the networks and/or components thereof presented herein are provided with systems and methods for integrating such networks and/or components with other networks and systems, non-limiting examples of which are provided in U.S. Provisional Application Ser. No. 62/221,997, titled “Integrated Communication Network for A Network of Moving Things,” filed on Sep. 22, 2015, which is hereby incorporated herein by reference in its entirety.

Also, in accordance with various aspects of this disclosure, the networks and/or components thereof presented herein are provided with systems and methods for synchronizing such networks and/or components, non-limiting examples of which are provided in U.S. Provisional Application Ser. No. 62/222,016, titled “Systems and Methods for Synchronizing a Network of Moving Things,” filed on Sep. 22, 2015, which is hereby incorporated herein by reference in its entirety.

Additionally, in accordance with various aspects of this disclosure, the networks and/or components thereof presented herein are provided with systems and methods for managing such networks and/or components, non-limiting examples of which are provided in U.S. Provisional Application Ser. No. 62/222,042, titled “Systems and Methods for Managing a Network of Moving Things,” filed on Sep. 22, 2015, which is hereby incorporated herein by reference in its entirety.

Further, in accordance with various aspects of this disclosure, the networks and/or components thereof presented herein are provided with systems and methods for monitoring such networks and/or components, non-limiting examples of which are provided in U.S. Provisional Application Ser. No. 62/222,066, titled “Systems and Methods for Monitoring a Network of Moving Things,” filed on Sep. 22, 2015, which is hereby incorporated herein by reference in its entirety.

Still further, in accordance with various aspects of this disclosure, the networks and/or components thereof presented herein are provided with systems and methods for detecting and/or classifying anomalies in such networks and/or components, non-limiting examples of which are provided in U.S. Provisional Application Ser. No. 62/222,077, titled “Systems and Methods for Detecting and Classifying Anomalies in a Network of Moving Things,” filed on Sep. 22, 2015, which is hereby incorporated herein by reference in its entirety.

Yet further, in accordance with various aspects of this disclosure, the networks and/or components thereof presented herein are provided with systems and methods for managing mobility in such networks and/or components, non-limiting examples of which are provided in U.S. Provisional Application Ser. No. 62/222,098, titled “Systems and Methods for Managing Mobility in a Network of Moving Things,” filed on Sep. 22, 2015, which is hereby incorporated herein by reference in its entirety.

Also, in accordance with various aspects of this disclosure, the networks and/or components thereof presented herein are provided with systems and methods for managing connectivity in such networks and/or components, non-limiting examples of which are provided in U.S. Provisional Application Ser. No. 62/222,121, titled “Systems and Methods for Managing Connectivity a Network of Moving Things,” filed on Sep. 22, 2015, which is hereby incorporated herein by reference in its entirety.

Additionally, in accordance with various aspects of this disclosure, the networks and/or components thereof presented herein are provided with systems and methods for collecting sensor data in such networks and/or components, non-limiting examples of which are provided in U.S. Provisional Application Ser. No. 62/222,135, titled “Systems and Methods for Collecting Sensor Data in a Network of Moving Things,” filed on Sep. 22, 2015, which is hereby incorporated herein by reference in its entirety.

Further, in accordance with various aspects of this disclosure, the networks and/or components thereof presented herein are provided with systems and methods for interfacing with such networks and/or components, non-limiting examples of which are provided in U.S. Provisional Application Ser. No. 62/222,145, titled “Systems and Methods for Interfacing with a Network of Moving Things,” filed on Sep. 22, 2015, which is hereby incorporated herein by reference in its entirety.

Still further, in accordance with various aspects of this disclosure, the networks and/or components thereof presented herein are provided with systems and methods for interfacing with a user of such networks and/or components, non-limiting examples of which are provided in U.S. Provisional Application Ser. No. 62/222,150, titled “Systems and Methods for Interfacing with a User of a Network of Moving Things,” filed on Sep. 22, 2015, which is hereby incorporated herein by reference in its entirety.

Yet further, in accordance with various aspects of this disclosure, the networks and/or components thereof presented herein are provided with systems and methods for data storage and processing in such networks and/or components, non-limiting examples of which are provided in U.S. Provisional Application Ser. No. 62/222,168, titled “Systems and Methods for Data Storage and Processing for a Network of Moving Things,” filed on Sep. 22, 2015, which is hereby incorporated herein by reference in its entirety.

Also, in accordance with various aspects of this disclosure, the networks and/or components thereof presented herein are provided with systems and methods for vehicle traffic management in such networks and/or components, non-limiting examples of which are provided in U.S. Provisional Application Ser. No. 62/222,183, titled “Systems and Methods for Vehicle Traffic Management in a Network of Moving Things,” filed on Sep. 22, 2015, which is hereby incorporated herein by reference in its entirety.

Additionally, in accordance with various aspects of this disclosure, the networks and/or components thereof presented herein are provided with systems and methods for environmental management in such networks and/or components, non-limiting examples of which are provided in U.S. Provisional Application Ser. No. 62/222,186, titled “Systems and Methods for Environmental Management in a Network of Moving Things,” filed on Sep. 22, 2015, which is hereby incorporated herein by reference in its entirety.

Further, in accordance with various aspects of this disclosure, the networks and/or components thereof presented herein are provided with systems and methods for managing port or shipping operation in such networks and/or components, non-limiting examples of which are provided in U.S. Provisional Application Ser. No. 62/222,190, titled “Systems and Methods for Port Management in a Network of Moving Things,” filed on Sep. 22, 2015, which is hereby incorporated herein by reference in its entirety.

Also, in accordance with various aspects of this disclosure, the networks and/or components thereof presented herein are provided with systems and methods for enhancing the accuracy of positioning or location information based at least in part on historical data, non-limiting examples of which are provided in U.S. Provisional Application Ser. No. 62/244,828, titled “Utilizing Historical Data to Correct GPS Data in a Network of Moving Things,” filed on Oct. 22, 2015, which is hereby incorporated herein by reference in its entirety.

Additionally, in accordance with various aspects of this disclosure, the networks and/or components thereof presented herein are provided with systems and methods for enhancing the accuracy of position or location of positioning or location information based at least in part on the utilization of anchors, non-limiting examples of which are provided in U.S. Provisional Application Ser. No. 62/244,930, titled “Using Anchors to Correct GPS Data in a Network of Moving Things,” filed on Oct. 22, 2015, which is hereby incorporated herein by reference in its entirety.

Further, in accordance with various aspects of this disclosure, the networks and/or components thereof presented herein are provided with systems and methods for providing communication between applications, non-limiting examples of which are provided in U.S. Provisional Application Ser. No. 62/246,368, titled “Systems and Methods for Inter-Application Communication in a Network of Moving Things,” filed on Oct. 26, 2015, which is hereby incorporated herein by reference in its entirety.

Still further, in accordance with various aspects of this disclosure, the networks and/or components thereof presented herein are provided with systems and methods for probing, analyzing and/or validating communication, non-limiting examples of which are provided in U.S. Provisional Application Ser. No. 62/246,372, titled “Systems and Methods for Probing and Validating Communication in a Network of Moving Things,” filed on Oct. 26, 2015, which is hereby incorporated herein by reference in its entirety.

Yet further, in accordance with various aspects of this disclosure, the networks and/or components thereof presented herein are provided with systems and methods for adapting communication rate, non-limiting examples of which are provided in U.S. Provisional Application Ser. No. 62/250,544, titled “Adaptive Rate Control for Vehicular Networks,” filed on Nov. 4, 2015, which is hereby incorporated herein by reference in its entirety.

Also, in accordance with various aspects of this disclosure, the networks and/or components thereof presented herein are provided with systems and methods for reconfiguring and adapting hardware, non-limiting examples of which are provided in U.S. Provisional Application Ser. No. 62/273,878, titled “Systems and Methods for Reconfiguring and Adapting Hardware in a Network of Moving Things,” filed on Dec. 31, 2015, which is hereby incorporated herein by reference in its entirety.

Additionally, in accordance with various aspects of this disclosure, the networks and/or components thereof presented herein are provided with systems and methods for optimizing the gathering of data, non-limiting examples of which are provided in U.S. Provisional Application Ser. No. 62/253,249, titled “Systems and Methods for Optimizing Data Gathering in a Network of Moving Things,” filed on Nov. 10, 2015, which is hereby incorporated herein by reference in its entirety.

Further, in accordance with various aspects of this disclosure, the networks and/or components thereof presented herein are provided with systems and methods for performing delay tolerant networking, non-limiting examples of which are provided in U.S. Provisional Application Ser. No. 62/257,421, titled “Systems and Methods for Delay Tolerant Networking in a Network of Moving Things,” filed on Nov. 19, 2015, which is hereby incorporated herein by reference in its entirety.

Still further, in accordance with various aspects of this disclosure, the networks and/or components thereof presented herein are provided with systems and methods for improving the coverage and throughput of mobile access points, non-limiting examples of which are provided in U.S. Provisional Application Ser. No. 62/265,267, titled “Systems and Methods for Improving Coverage and Throughput of Mobile Access Points in a Network of Moving Things,” filed on Dec. 9, 2015, which is hereby incorporated herein by reference in its entirety.

Yet further, in accordance with various aspects of this disclosure, the networks and/or components thereof presented herein are provided with systems and methods for coordinating channel utilization, non-limiting examples of which are provided in U.S. Provisional Application Ser. No. 62/270,858, titled “Channel Coordination in a Network of Moving Things,” filed on Dec. 22, 2015, which is hereby incorporated herein by reference in its entirety.

Also, in accordance with various aspects of this disclosure, the networks and/or components thereof presented herein are provided with systems and methods for implementing a network coded mesh network in the network of moving things, non-limiting examples of which are provided in U.S. Provisional Application Ser. No. 62/257,854, titled “Systems and Methods for Network Coded Mesh Networking in a Network of Moving Things,” filed on Nov. 20, 2015, which is hereby incorporated herein by reference in its entirety.

Additionally, in accordance with various aspects of this disclosure, the networks and/or components thereof presented herein are provided with systems and methods for improving the coverage of fixed access points, non-limiting examples of which are provided in U.S. Provisional Application Ser. No. 62/260,749, titled “Systems and Methods for Improving Fixed Access Point Coverage in a Network of Moving Things,” filed on Nov. 30, 2015, which is hereby incorporated herein by reference in its entirety.

Further, in accordance with various aspects of this disclosure, the networks and/or components thereof presented herein are provided with systems and methods for managing mobility controllers and their network interactions, non-limiting examples of which are provided in U.S. Provisional Application Ser. No. 62/273,715, titled “Systems and Methods for Managing Mobility Controllers and Their Network Interactions in a Network of Moving Things,” filed on Dec. 31, 2015, which is hereby incorporated herein by reference in its entirety.

Still further, in accordance with various aspects of this disclosure, the networks and/or components thereof presented herein are provided with systems and methods for managing and/or triggering handovers of mobile access points, non-limiting examples of which are provided in U.S. Provisional Application Ser. No. 62/281,432, titled “Systems and Methods for Managing and Triggering Handovers of Mobile Access Points in a Network of Moving Things,” filed on Jan. 21, 2016, which is hereby incorporated herein by reference in its entirety.

Yet further, in accordance with various aspects of this disclosure, the networks and/or components thereof presented herein are provided with systems and methods for performing captive portal-related control and management, non-limiting examples of which are provided in U.S. Provisional Application Ser. No. 62/268,188, titled “Captive Portal-related Control and Management in a Network of Moving Things,” filed on Dec. 16, 2015, which is hereby incorporated herein by reference in its entirety.

Also, in accordance with various aspects of this disclosure, the networks and/or components thereof presented herein are provided with systems and methods for extrapolating high-value data, non-limiting examples of which are provided in U.S. Provisional Application Ser. No. 62/270,678, titled “Systems and Methods to Extrapolate High-Value Data from a Network of Moving Things,” filed on Dec. 22, 2015, which is hereby incorporated herein by reference in its entirety.

Additionally, in accordance with various aspects of this disclosure, the networks and/or components thereof presented herein are provided with systems and methods for providing remote software updating and distribution, non-limiting examples of which are provided in U.S. Provisional Application Ser. No. 62/272,750, titled “Systems and Methods for Remote Software Update and Distribution in a Network of Moving Things,” filed on Dec. 30, 2015, which is hereby incorporated herein by reference in its entirety.

Further, in accordance with various aspects of this disclosure, the networks and/or components thereof presented herein are provided with systems and methods for providing remote configuration updating and distribution, non-limiting examples of which are provided in U.S. Provisional Application Ser. No. 62/278,662, titled “Systems and Methods for Remote Configuration Update and Distribution in a Network of Moving Things,” filed on Jan. 14, 2016, which is hereby incorporated herein by reference in its entirety.

Still further, in accordance with various aspects of this disclosure, the networks and/or components thereof presented herein are provided with systems and methods for adapting the network, for example automatically, based on user feedback, non-limiting examples of which are provided in U.S. Provisional Application Ser. No. 62/286,243, titled “Systems and Methods for Adapting a Network of Moving Things Based on User Feedback,” filed on Jan. 22, 2016, which is hereby incorporated herein by reference in its entirety.

Yet further, in accordance with various aspects of this disclosure, the networks and/or components thereof presented herein are provided with systems and methods for enhancing and/or guaranteeing data integrity when building or performing data analytics, non-limiting examples of which are provided in U.S. Provisional Application Ser. No. 62/278,764, titled “Systems and Methods to Guarantee Data Integrity When Building Data Analytics in a Network of Moving Things,” Jan. 14, 2016, which is hereby incorporated herein by reference in its entirety.

Also, in accordance with various aspects of this disclosure, the networks and/or components thereof presented herein are provided with systems and methods for performing self-initialization and/or automated bootstrapping of mobile access points, non-limiting examples of which are provided in U.S. Provisional Application Ser. No. 62/286,515, titled “Systems and Methods for Self-Initialization and Automated Bootstrapping of Mobile Access Points in a Network of Moving Things,” filed on Jan. 25, 2016, which is hereby incorporated herein by reference in its entirety.

Additionally, in accordance with various aspects of this disclosure, the networks and/or components thereof presented herein are provided with systems and methods for managing power supply and/or utilization, non-limiting examples of which are provided in U.S. Provisional Application Ser. No. 62/295,602, titled “Systems and Methods for Power Management in a Network of Moving Things,” filed on Feb. 16, 2016, which is hereby incorporated herein by reference in its entirety.

Further, in accordance with various aspects of this disclosure, the networks and/or components thereof presented herein are provided with systems and methods for automating and easing the installation and setup of the infrastructure, non-limiting examples of which are provided in U.S. Provisional Application Ser. No. 62/299,269, titled “Systems and Methods for Automating and Easing the Installation and Setup of the Infrastructure Supporting a Network of Moving Things,” filed on Feb. 24, 2016, which is hereby incorporated herein by reference in its entirety.

Error in consumer-grade GPS receivers may reach dozens of meters, making them too inaccurate for some applications. On the other hand, professional-grade Differential GPS (DGPS) devices are able to provide higher accuracy but are much more expensive, making them unsuitable for deployment in large numbers, such as a fleet of vehicles. Accordingly, aspects of this disclosure provide for taking advantage of a large numbers of consumer-grade GPS receivers deployed in the vehicles of a network of the type described above with reference to FIGS. 1-6 to achieve higher positioning accuracy.

In accordance with aspects of this disclose, given sufficient time and/or number of GPS-equipped vehicles in a fleet (as is often the case in the network described above with respect to FIGS. 1-6), and given that the vehicles of the fleet are equipped with mobile APs for relaying the GPS data among themselves and the fixed APs, huge amounts of GPS data may be collected about the paths where the fleet operates. Methods and systems implementing aspects of this disclosure may use this data to create statistical models that describe the most probable location of any particular vehicle in the fleet given the output of that vehicle's GPS receiver and the collected (historical) data. In this manner, GPS correction is attained with low-cost GPS receivers, rather than resorting to a higher-cost DGPS system. Such statistical models may be created without use of maps and can therefore be used in places for which cartographic data is not available, such as harbors, or industrial private roads. Furthermore, such statistical models do not rely on fixed ground stations whose position is accurately known to calculate DGPS information. Using a network such as described above with reference to FIGS. 1-6 enables collection of large numbers of GPS data samples for very low cost. This data can be used for each moving thing in the network enabling faster and more accurate correction of GPS data.

The statistical models may describe the paths of the vehicles based on the collected data. GPS errors tend to cancel out as the number of samples increase. Methods and systems implementing aspects of this disclosure may use the previously built statistical model to correct/compensate the output from a vehicle's GPS receiver to infer the most probable location of the vehicle, which is more accurate than using the current output of the GPS receiver by itself. The corrections using the statistical model may be made in real-time or as post-processing operation.

FIG. 7 is a flowchart showing an example process of locating mobile objects based on historical GPS data from a network of mobile nodes. In block 702, GPS data is collected from GPS-equipped vehicles (and/or other mobile devices) of the network via mobile APs of the vehicles. The data may, for example, be stored in a server of the Cloud, in one or more of the fixed APs, and/or in one or more of the mobile APs. In an example implementation, the GPS data is stored in its original, uncorrected state.

In block 704, after sufficient number of GPS data samples have been collected, circuitry of the Cloud, APs, and/or mobile APs builds statistical models from the data. In example implementation, two models, referred to here as “Model A” and “Model B,” are generated.

Model A characterizes the density of the GPS samples using an image-based approach. It comprises a spatial histogram that stores how many times any of the vehicles (or other mobile devices) of the network was in a given location. Locations with higher density of samples have higher probability of being roads, for example. The spatial histogram may be smoothed using image convolution techniques to incorporate information of neighboring locations and, thus, cancel out GPS errors, resulting in a smooth density map (this is an approximation of Kernel Density Estimation). Interpolation between GPS samples may be used to increase the uniformity of samples. More than one map may be used to improve accuracy. For example, the direction of the vehicle may be taken into account, and several maps would be available for different ranges and/or different directions of travel.

Model B may describe roads using a path-based approach. For building the model, paths of individual vehicles may be averaged resulting in mean traces describing the roads. Averaging the paths cancels out GPS errors. The paths may allow for template matching. By matching the trace of the vehicle against the model, ambiguities regarding the vehicle location may be reduced.

FIG. 8 shows an example graphical representation of a statistical model generated using the process of FIG. 7. Several representative uncorrected GPS readings are called out as 802. Corresponding corrected readings based on the statistical model are called out as 804.

In block 706, the statistical model(s) are used to correct GPS readings from mobile APs. Corrections using model A may include an optimization process that finds the best candidate location given the vehicle's location, direction (heading) and speed. Strategies include finding the closest point with higher density within some determined region surrounding and/or near the original GPS reading from the vehicle. The region may be constrained to avoid getting trapped in local maxima. Alternatively or additionally, correction vectors may be computed for a collection of vehicles in the same geographic area. The combination of these correction vectors may be used to compute a series of correction vectors for a given region over time for errors that are specific to that region, such as those caused by atmospheric interference and the specific satellites that are visible from that region. Corrections may be computed by circuitry of the Cloud, APs, and/or mobile PAs. Locally computed corrections (in a fixed AP or mobile AP, for example) may be augmented with path information from nearby vehicles that share one or more recently-traveled paths with the vehicle for which the correction is being calculated.

Models A and B may be combined, as well as physical models that take into account the velocity and acceleration of the vehicle for inferring the current position (e.g. using Kalman or Particle filters), to generate a corrected location and heading.

In an example implementation, the devices of the network may propagate their calculated corrections to other mobile devices in the fleet. Vehicles that share the same GPS satellites would be exposed to similar GPS errors and may try to jointly find correction vectors.

Methods and systems implementing aspects of this disclosure may be operable to detect when a vehicle is stopped and infer if the vehicle is at a bus stops (public transportation domain), terminals, etc. which themselves may be detected using the statistical models.

FIG. 9 shows example circuitry of a vehicle of the network of moving things. Shown are a GPS receiver 902, sensor(s) 914 (e.g., representing one or more of accelerometers, gyroscopes, magnetometers, and/or other sensors), and mobile AP 904. The mobile AP 904 comprises one or more radio 906 (e.g., supporting cellular, 802.11p, 802.11a/b/g/n/ac, and/or other protocols or standards), processing circuitry 908 (e.g., x86 chipset, ARM based application processor, and/or the like), memory 910 (e.g., volatile DRAM, nonvolatile memory channel storage, and/or the like), and storage 912 (e.g., nonvolatile hard disk drive(s) and/or solid-state drive(s)). The mobile AP receives GPS readings from the GPS receiver 902 and corrects them based on one or more statistical models which may be generated in full or in part by the processing circuitry 908 and/or received from other APs and/or the cloud via the radio(s) 906.

In an example implementation, the mobile AP 904 is integrated with the electronics system of the vehicle (e.g., using OBD2 or CAN bus) and gets sensor readings (e.g., from speedometer, odometer, temperature, and/or other vehicle sensors) and GPS readings directly from sensors 914 and 902 of the vehicle. The GPS readings may be used for generating the statistical models, as described above. The sensor readings may be used to augment/supplement the statistical models.

GPS accuracy is a major issue that affects many businesses, including transportation of people and goods, security, public safety, etc. This problem gets worse in large cities with high buildings where GPS errors are high. Aspects of this disclosure improve GPS location based on the history of traces of the fleet. Thus, it may provide great benefits in places where vehicles repeatedly do similar paths. Fortunately this is true everywhere there are roads since vehicles are generally constrained to travel on them. Improving GPS precision would improve almost every one of thousands of applications which uses GPS today.

FIG. 10 is a flowchart illustrating an example process for path prediction in a vehicular network. The process begins with block 1002 in which GPS data is collected from many (perhaps thousands) of GPS receivers installed in the vehicular network. This GPS data is aggregated locally at the mobile APs, at the edge in the fixed APs, and/or in the Cloud.

In block 1004, the aggregated GPS data is used to generate statistical models of the paths of the vehicles. In an example implementation, the models may comprise one or more correction vectors to be applied to raw outputs of the GPS receivers. The correction vectors calculated for any particular geographic region over time could be used to determine systematic errors (and corresponding correction vectors) for that region such as, for example, errors caused by atmospheric interference and the specific positioning satellites that are visible from that region. In an example implementation, the models may be communicated along with an indication of their accuracy (e.g., based on the number of GPS samples and/or the number of GPS receivers used for generating the model, where more samples and/or more receivers may yield higher accuracy). In an example implementation, GPS samples used for generating a statistical model may be filtered based on which GPS samples were output by a stopped GPS receiver and which GPS samples were output by a moving GPS receiver. For example, some or all GPS samples from stopped receivers may be filtered out before calculating a first statistical model and some or all samples from moving receivers may be filtered out before calculating a second statistical model.

In block 1006, a current path of a vehicle is determined (with some determined probability) using N (an integer) recent GPS samples from a GPS receiver of the vehicle and using the statistical model(s) generated in block 1004.

In block 1008, a next path of the particular vehicle may be predicted (with some determined probability) based on its current path and the statistical model(s) and/or other forms of historical GPS data for the current path.

FIG. 11 is a flowchart illustrating an example process for compensating positioning data in a vehicular network. The process begins with block 1102 in which GPS data is collected from many (perhaps thousands) of GPS receivers installed in the vehicular network. This GPS data is aggregated locally at the mobile APs, at the edge in the fixed APs, and/or in the Cloud.

In block 1104, the aggregated GPS data is used to generate statistical models of the paths of the vehicles.

In block 1106, the statistical model(s) is/are distributed among the fixed APs and/or mobile APs. For example, the Cloud may generate the models and then distribute them to the fixed APs, which may broadcast them and/or unicast them in response to requests from mobile APs. As another example, the mobile APs, once in possession of the model(s), may broadcast the model(s) and/or unicast the model(s) in response to a request from a neighbor node.

In block 1108, a mobile AP of a particular has received a statistical model for its current location and uses the model to compensate the current output of the particular vehicle's GPS receiver.

FIG. 12 is a flowchart illustrating an example process for path determination in a vehicular network. In block 1202, a first mobile AP generates a representation (e.g., in the form of correction vectors) of its recent path based on data from its GPS receiver and on statistical model(s) from the Cloud. In block 1204, the first mobile APs shares the representation of its recent path with a second mobile AP (e.g., via peer-to-peer Wi-Fi connection). In block 1206, the second mobile AP calculates is path based on the neighbor's path (e.g., in addition to its current and/or historical GPS data and/or statistical model(s)).

In accordance with an example implementation of this disclosure, a system comprises model generation circuitry (e.g., 908, 910, and 904 of one or more mobile APs 904 and/or similar circuitry of one or more fixed APs and/or of the Cloud) operable to process positioning data from a plurality of positioning system receivers of a network of vehicles to generate one or more statistical models of the positions of the vehicles, wherein the positioning data is received via a plurality of mobile access points of the network of vehicles. The system also comprises positioning circuitry (e.g., 908, 910, and 904 of one or more mobile APs 904 and/or similar circuitry of one or more fixed APs and/or of the Cloud) operable to receive a reading from a particular one of the plurality of positioning system receivers, and compensate the reading from the particular one of the plurality of positioning system receivers based on the one or more statistical models to determine a most-probable location of the particular one of the plurality of positioning system receivers. The one or more statistical models may characterize the density of samples of the positioning data. The one or more statistical models may be based on a spatial histogram generated from the positioning data from the plurality of positioning system receivers. The one or more statistical models may be based on an average of paths of vehicles over time (e.g., the paths of each bus in a fleet of busses). The system may comprise data analysis circuitry (e.g., 908, 910, and 904 of one or more mobile APs 904 and/or similar circuitry of one or more fixed APs and/or of the Cloud) operable to analyze the one or more statistical models to identify public transportation stops and/or terminals (e.g., based on very high density of samples at those locations). The data analysis circuitry may be operable to detect whether a particular one of the vehicles is stopped based on readings from a positioning receiver installed in the particular one of the vehicles. The data analysis circuitry may be operable to, in response to a detection that the particular vehicle is stopped, determine whether the particular vehicle is at a public transportation stop or terminal based on the one or more statistical models. The positioning circuitry may be operable to compensate the reading from the particular one of the plurality of positioning system receivers based on one or more readings from one or more sensors. The positioning circuitry may reside in one of the mobile access points and be operable to perform the compensation in real-time. The positioning circuitry may reside in a network location accessed via one or more of the mobile access points and be operable to perform the compensation during post-processing of the positioning data.

In summary, various aspects of this disclosure provide communication network architectures, systems and methods for using historical data to correct GPS data in a network of moving things. As a non-limiting example, various aspects of this disclosure provide communication network architectures, systems, and methods for supporting a communication network comprising a complex array of both static and moving communication nodes (e.g., the Internet of moving things). While the foregoing has been described with reference to certain aspects and examples, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted without departing from the scope of the disclosure. In addition, many modifications may be made to adapt a particular situation or material to the teachings of the disclosure without departing from its scope. Therefore, it is intended that the disclosure not be limited to the particular example(s) disclosed, but that the disclosure will include all examples falling within the scope of the appended claims.

The present method and/or system may be realized in hardware, software, or a combination of hardware and software. The present methods and/or systems may be realized in a centralized fashion in at least one computing system, or in a distributed fashion where different elements are spread across several interconnected computing systems. Any kind of computing system or other apparatus adapted for carrying out the methods described herein is suited. A typical combination of hardware and software may be a general-purpose computing system with a program or other code that, when being loaded and executed, controls the computing system such that it carries out the methods described herein. Another typical implementation may comprise an application specific integrated circuit or chip. Some implementations may comprise a non-transitory machine-readable (e.g., computer readable) medium (e.g., FLASH drive, optical disk, magnetic storage disk, or the like) having stored thereon one or more lines of code executable by a machine, thereby causing the machine to perform processes as described herein.

While the present method and/or system has been described with reference to certain implementations, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted without departing from the scope of the present method and/or system. In addition, many modifications may be made to adapt a particular situation or material to the teachings of the present disclosure without departing from its scope. Therefore, it is intended that the present method and/or system not be limited to the particular implementations disclosed, but that the present method and/or system will include all implementations falling within the scope of the appended claims. 

The invention claimed is:
 1. A system comprising: model generation circuitry operable to process a respective series of positioning data samples received from each of a plurality of satellite based positioning system receivers of respective vehicles mobile within a service area of a wireless network comprising a plurality of vehicles to generate one or more statistical models of historical positions of the plurality of vehicles, wherein the series of positioning data samples from each positioning system receiver is received via a respective mobile access point of a plurality of mobile access points of the network of vehicles, and wherein each of the generated one or more statistical models describes a path of the plurality of vehicles based on an aggregate of the series of positioning data samples; and positioning circuitry operable to: receive a current positioning data sample from a particular one of the plurality of positioning system receivers; and compensate for error in the current positioning data sample from the particular one of the plurality of positioning system receivers using the one or more statistical models to determine a most-probable location of the particular one of the plurality of positioning system receivers.
 2. The system of claim 1, wherein the one or more statistical models characterize the density of positioning data samples from the plurality of vehicles.
 3. The system of claim 1, wherein the one or more statistical models is based on a spatial histogram generated from the positioning data samples from the plurality of positioning system receivers.
 4. The system of claim 1, wherein the one or more statistical models is based on an average of paths of particular vehicles over time.
 5. The system of claim 1, comprising data analysis circuitry operable to analyze the one or more statistical models to identify public transportation stops and/or terminals.
 6. The system of claim 5, wherein the data analysis circuitry is operable to: detect whether a particular one of the vehicles is stopped based on positioning data samples from a satellite based positioning receiver installed in the particular one of the vehicles; and in response to a detection that the particular vehicle is stopped, determine, based on the one or more statistical models, whether the particular vehicle is at a public transportation stop or terminal.
 7. The system of claim 1, wherein the positioning circuitry is operable to compensate the current positioning data sample from the particular one of the plurality of positioning system receivers based on one or more readings from one or more sensors.
 8. The system of claim 7, wherein the one or more sensors comprises one or more of: an accelerometer, a gyroscope, a magnetometer, a speedometer, and an odometer.
 9. The system of claim 1 wherein the positioning circuitry resides in one of the mobile access points and is operable to perform the compensation in real-time.
 10. The system of claim 1, wherein the positioning circuitry resides in a network location accessed via one or more of the mobile access points and is operable to perform the compensation during post-processing of the positioning data.
 11. The system according to claim 1, wherein information representative of the one or more statistical models generated by model generation circuitry of a first vehicle of the network of vehicles is shared with respective positioning circuitry of one or more other vehicles of the network of vehicles to enable correction of current positioning data samples from respective positioning system receivers of the one or more other vehicles.
 12. The system according to claim 1, wherein the model generation circuitry is operable to predict a next path of a particular vehicle of the network of vehicles using one or more statistical models for the particular vehicle and information representative of a current path of the particular vehicle.
 13. The system according to claim 1, wherein the positioning circuitry is operable to cause the most-probable location of the particular one of the plurality of positioning system receivers to be made available for operation of a vehicle corresponding to the particular one of the plurality of positioning system receivers.
 14. A method comprising: receiving, by model generation circuitry via a mobile access point of each of a plurality of mobile access points of respective vehicles of a wireless network comprising a plurality of vehicles mobile within a service area of the network, a respective series of positioning data samples from each of a plurality of satellite based positioning system receivers of respective vehicles of the network of vehicles; processing, by the model generation circuitry, the received positioning data samples to generate one or more statistical models of historical positions of the plurality of vehicles, wherein each of the generated one or more statistical models describes a path of the plurality of vehicles based on an aggregate of the series of positioning data samples; receiving, by positioning circuitry, a current positioning data sample from a particular one of the plurality of positioning system receivers; and compensating for error in the current positioning data sample, by the positioning circuitry using the one or more statistical models, to determine a most-probable location of the particular one of the plurality of positioning system receivers.
 15. The method of claim 14, wherein the one or more statistical models characterize the density of positioning data samples from the plurality of vehicles.
 16. The method of claim 14, comprising: generating a spatial histogram from the positioning data samples from the plurality of positioning system receivers; and generating the one or more statistical models based on the spatial histogram.
 17. The method of claim 14, wherein the one or more statistical models is based on an average of paths of particular vehicles over time.
 18. The method of claim 14, comprising analyzing, by data analysis circuitry, the one or more statistical models to identify public transportation stops and/or terminals.
 19. The method of claim 18, comprising: detecting, by the data analysis circuitry, whether a particular one of the vehicles is stopped based on positioning data samples from a satellite based positioning receiver installed in the particular one of the vehicles; and in response to detecting that the particular vehicle is stopped, determining, by the data analysis circuitry based on the one or more statistical models, whether the particular vehicle is at a public transportation stop or terminal.
 20. The method of claim 14, comprising compensating, by the positioning circuitry, the current positioning data sample from the particular one of the plurality of positioning system receivers based on one or more readings from one or more sensors.
 21. The method of claim 20, wherein the one or more sensors comprises one or more of: an accelerometer, a gyroscope, a magnetometer, a speedometer, and an odometer.
 22. The method of claim 14, wherein the positioning circuitry resides in one of the mobile access points and the method comprises performing the compensating in real-time.
 23. The method of claim 14, wherein the positioning circuitry resides in a network location accessed via one or more of the mobile access points and the method comprises performing the compensating during post-processing of the positioning data.
 24. The method according to claim 14, wherein information representative of the one or more statistical models generated by model generation circuitry of a first vehicle of the network of vehicles is shared with respective positioning circuitry of one or more other vehicles of the network of vehicles to enable correction of current positioning data samples from respective positioning system receivers of the one or more other vehicles.
 25. The method according to claim 14, comprising predicting, by the model generation circuitry, a next path of a particular vehicle of the network of vehicles using one or more statistical models for the particular vehicle and information representative of a current path of the particular vehicle.
 26. The method according to claim 14, comprising causing, by the positioning circuitry, the most-probable location of the particular one of the plurality of positioning system receivers to be made available for operation of a vehicle corresponding to the particular one of the plurality of positioning system receivers. 